Meetup | Vienna Data Science Group

The Psychology of Data Transformations & Optimizing Multimodal AI Pipelines

Fri, 29 May 2026 18:00:00 +0200

Dear Data Enthusiasts,

Join us again on 29th of May at A1 to learn about the psychological implications on employees when transforming the data landscape of an organization. In addition, we will finally have a talk about the open source framework Metaxy and how it can help to cut costs of multimodal AI pipelines.

A big thanks goes to our co-organizers from the A1 Telekom and our sponsor Cloudera!

A Psychological Autopsy of a Data Transformation Dávid Farkas Five years ago, a small European university decided to build and implement a data strategy from scratch. Greenfield in the truest sense: data governance was an unheard term and in practice it meant local Excel files duplicated across inboxes; “the database” usually referred to whichever spreadsheet someone had emailed most recently. Over four years, we designed and rolled out new systems, established governance structures, hired a team, and delivered real wins. We also watched a significant portion of the work get undone in months once leadership changed. This talk is a psychological autopsy of that transformation — what was planned, what worked, what quietly collapsed, and why. Universities are an unusually honest laboratory for studying data initiatives: decentralized power, competing stakeholder logics, weak formal hierarchies, and ambiguous success metrics make every human dysfunction that exists in corporate environments more visible. Drawing on behavioural science and nearly five years leading this initiative, I’ll walk through the recurring failure patterns I see across data and AI projects more broadly — algorithm aversion, NIH syndrome, the gap between executive sponsorship and operational ownership, and the under-recognised role of organisational identity in determining which systems survive a leadership change. The argument is not that technology doesn’t matter — it’s that the human substrate determines whether any of it sticks. Borrowing Kranzberg: technology is never neutral, and neither are the people implementing it. Dávid Farkas is a research psychologist (PhD) and data scientist based in Budapest. He co-founded Principle Zero, which helps companies, NGOs, and researchers take on complex challenges in data strategy, digital and AI transformation, research, product development, and science communication. We bring behavioural science to problems most consultancies treat as purely technical, focusing on the human and organisational factors that determine whether ambitious projects survive contact with reality. Previously he led data science and digitalisation at MOME Budapest, with earlier industry experience applying machine learning.

Optimizing Multimodal AI Pipelines with Metaxy Georg Heiler, Hernan Picatto The AI era has caused a fundamental shift in computing, moving us toward complex multimodal pipelines. However, these new systems are often incredibly wasteful. Right now, small changes to an input can trigger massive recomputations across very expensive processing steps. In this talk, we will explore Metaxy, an open source Python framework built to solve this exact problem. Metaxy provides sample level metadata versioning and acts as the universal glue for incremental data pipelines. We will discuss how its field level provenance allows your pipeline to only recompute what actually changed. If you update an audio file, for example, Metaxy knows to skip downstream face recognition steps that only rely on video. Whether you are a startup stretching your compute budget, an enterprise scaling ML infrastructure, or a researcher in academia, you will learn how to use Metaxy to iterate faster, cut cloud costs, and build highly efficient AI workflows. Georg Heiler is a co-founder @Jubust and a Senior data expert at Magenta as well as a ML-ops engineer at ASCII. He is solving challenges with data. His interests include geospatial graphs and time series. Georg transitions the data platform of Magenta to the cloud and is handling large scale multi-modal ML-ops challenges at ASCII. Hernan Picatto is a Computer Science PhD candidate at the Vienna University of Technology researching firm-level supply chains and corporate networks using NLP and Common Crawl data. Formerly an engineer at JPMorgan Chase and ZhiZhouKeji, he holds an MA from UCSD. His broad interests span big data, visualization, and time series causality.

We’ll have some food and drinks after the event. Please note that during the event, photos might be made and later posted on VDSG’s social media page. Please notify us if you do not agree. Attention attendees with food allergies. Please be aware that the food and drinks provided may contain or come into contact with common allergens, such as dairy, eggs, wheat, soybeans, tree nuts, peanuts, fish, shellfish, or wheat.

Best, The Organizer Team

VDSG meets WiAI Austria: Building AI-Ready Data in Insurance & Healthcare

Wed, 29 Apr 2026 18:00:00 +0200

Dear Data Enthusiasts,

Come to the joint event with Women in AI Austria at UNIQA on the 29th of April to explore how fragmented, heterogeneous data can be transformed into governed, AI-ready foundations that drive real impact. This evening we will hear how these challenges play out in two very different domains: managing workforce data at scale in insurance, and unifying multi-modal clinical data to support better patient outcomes in healthcare.

From Fragmented to Foundational: People Analytics at UNIQA How do you turn fragmented People Data into a trusted, AI‑ready data foundation? This session shows how UNIQA uses Databricks as a core data platform for people analytics, integrating multiple sources into a governed People Datawarehouse. We will explore how to enable a single source of truth for workforce data to support responsible analytics, scalable dashboards, and AI‑ready datasets.

Stefanie Blaschke, Head of group people analytics at UNIQA Stefanie is Head of Group People Analytics at UNIQA Insurance Group, specializing in turning complex workforce data into clear, actionable insights.

Scaling Clinical Intelligence with STETHOSCOPE As healthcare faces a post-pandemic capacity crisis exacerbated by aging demographics, the industry’s fragmented data—spanning clinical tables, medical imaging, and ECG recordings—remains its greatest untapped asset. We introduce STETHOSCOPE, an AI-driven framework built on Databricks that unifies these multi-modal streams to alleviate administrative burnout and drastically reduce the risk of misdiagnosis. This session demonstrates why the Databricks Data Intelligence Platform is the definitive backbone for high-stakes healthcare LLMOps, enabling the transition from chaotic data to actionable clinical insights. Through real-world case studies and field experience, we show how agentic architectures transform patient care and operational efficiency.

Monika Hujter and Zsofia Prager, Data Scientists at Hiflylabs Monika and Zsofia are Data Scientists at Hiflylabs, and work at the intersection of machine learning and real-world impact, with a current focus on healthcare AI.

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Important logistics:

We have 100 seats available — admission is based on an RSVP list, so make sure you RSVP early. Please provide your full name and company name when registering, as these are required to obtain your visitor card at UNIQA. Please arrive at 18:00 sharp for security reasons.

When registering, please indicate your: name and last name, company name and your community affiliation (WiAI Austria, VDSG, or other) via the Meetup link below: Registration form We need it to give you a card to access the building.

Also, please note that during the event, photos might be made and later posted on VDSG’s or Women in AI Austria social media page. Please notify us if you do not agree.

Attention attendees with food allergies. Please be aware that the food and drinks provided may contain or come into contact with common allergens, such as dairy, eggs, wheat, soybeans, tree nuts, peanuts, fish, shellfish, or wheat.

Best, The Organizer Team VDSG and WiAI Austria

Powering the Grid: Data Science in Energy Storage and Trading

Mon, 09 Mar 2026 18:00:00 +0100

Dear Data Enthusiasts,

Join us this time at TU the Sky on the 9th of March to explore how data science and machine learning are powering the energy transition — from battery storage investment to energy volume forecasting and electricity trading for distributed energy resources. A big thanks goes to our co-organizers from the AI Factory Austria, who supports researchers and companies in accessing advanced computing know-how and infrastructure for applications in life sciences among other scientific domains.

This time, we will have 3 speakears and a round table of discussion.

Comparative Case Study: Saudi Arabia, Brazil, Malaysia, Germany and United Kingdom – BESS Pilot Market Assessment The presentation compares five grid-scale BESS pilot markets—Saudi Arabia, Brazil, Malaysia, Germany, and the UK—using a standardized project-finance and credit-risk framework to make IRRs and NPVs comparable. It models 15-year assets with consistent capex/opex, leverage rules (higher for contracted revenue, lower for merchant), and country risk, inflation, FX, and degradation impacts. Saudi Arabia offers the highest certainty and strong returns via sovereign contracted payments. Brazil is contracted but weakened by inflation/FX and immature market design. Malaysia is large but has blended, hard-to-hedge activation risk. Germany and the UK offer higher upside through merchant revenue stacking but face volatility and regulatory uncertainty.

Sebastian Meyer, entrepreneur Sebastian Meyer is an energy transition professional with expertise in battery storage, power markets, and project finance. He started his career in banking combining equity capital markets work in Central and Eastern Europe and project finance in London. Energy transition work started with an equity sell-down engagement for one of Europe’s earliest offshore wind projects. Sebastian worked on commercializing clean and renewable technology as a founder and partner in Azure International Beijing from 2003 - 2016, ultimately heading Strategy & Power Markets for EDF Renewables in the context of China’s ongoing power sector liberalisation 2017 - 2020. After returning to Europe, Sebastian played a coordinating role in CCE’s first BESS project in Germany now operational since December, and he supports an Austrian BESS developer at this time. He recently completed the BatteryMBA executive programme (Cohort 14), deepening his understanding of the battery value chain, storage technologies, lifecycle economics and emerging business models, and co-authored a BESS pilot market assessment presented to industry peers. Based in Vienna, Austria, Sebastian positions himself at the nexus of energy finance, flexibility markets, and power system integration, with a focus on renewables and grid-scale storage.

Energy Volume Forecasting This presentation explores how data science supports energy trading decisions in the context of dynamic electricity tariffs. It begins with an introduction to aWATTar’s dynamic tariffs, which allow customers to consume “Energy in Sync with Nature,” benefit from market fluctuations, and participate in the green energy transition. The session then outlines the trading workflow behind tariff-based energy procurement, highlighting where uncertainty and risk emerge. Building on this context, it motivates the need for accurate total energy forecasting as a critical input for trading decisions. The second half of the talk dives deeper into the forecasting problem, covering data flow, feature engineering, modeling strategy, and deep learning architecture used to predict aggregated energy demand and production for trading purposes. It concludes by sharing lessons learned from deploying forecasting models in production and their impact on more efficient, data-driven energy trading.

Ekin Kaan, Machine learning engineering at aWATTar Ekan is a Machine Learning Engineer at aWATTar, where he focuses on clustering, forecasting, and data-driven energy solutions. With a background in mathematics and theoretical physics, he enjoys uncovering patterns in data and turning them into actionable insights that create business impact. At aWATTar, he develops forecasting solutions that support smarter energy trading and contribute to a sustainable energy transition.

Unlocking Flex Trading for Consumers As Europe’s energy grid shifts toward renewables, price volatility on wholesale electricity markets is rising fast. Every connected household device — EVs, heat pumps, batteries, solar inverters — represents untapped flexibility that can be traded on these markets. The problem: until now, only large industrial assets and sophisticated utilities have been able to participate. So far, consumers have been locked out. In this talk, you will hear how to enable utilities to aggregate residential device flexibility and trade it on day-ahead and intraday electricity markets — turning thousands of small household assets into a coordinated virtual battery.

Chris Bernkopf, Podero Chris Bernkopf has a degree in physics and data science. My journey as a founder started by selling t-shirts at 18. I burned my fingers in ed-tech and worked in e-mobility before building a procurement tool (YC W21). Since 2022, I’ve been building Podero, an electricity trading software for electric devices (DERs) for the world’s leading utilities. www.podero.com

Roundatble moderator: Patrick Fodor, marbl. Patrick is a physicist from Vienna, committed to energy trading, and developing intelligent energy trading systems for a decade. In his free time, Patrick creates and teaches courses on topics such as Smart Contract Security, Solidity, Golang, and Quantum Computing. Professionally, former Algo Development Teamlead in Trayport and E*Star. Currently, Patrick is Co-Founder and CTO of YQAPP and marbl.energy. At marbl.energy, they are optimizing renewable energy assets such as Wind and Photovoltaic systems in combination with energy storage systems.

Best, The Organizer Team

VDSG x CEU - 2nd Vienna Data Analytics Jamboree

Fri, 05 Dec 2025 14:30:00 +0100

IMPORTANT:

After you RSVP here, you must register to attend the event at CEU’s Registration Page, too, using the following link: Registration Page
We’ll host a Job Market Open Mic at 5:00 p.m. If you’d like to announce job openings or share your job-seeking status, please upload a slide to Google Slides using the link provided at the end of this announcement.
The event starts at 2:30, but you are welcome to join at any time after.

The Jamboree brings together Analysts, Engineers, Data Scientists and Managers working in Business to talk about their coolest analytics projects. A relaxed and engaging event, the Jamboree features talks, discussions and Q&A fostering a fun atmosphere with plenty of opportunities for learning, conversations, and networking. The audience includes both students and working professionals.

The Jamboree will feature talks on designing and executing data analytics projects in business and roundtable discussions on what new skills are important for data science teams in the AI era. In addition to Austria, speakers from the USA, Germany, and Hungary will make it a truly international event, fitting CEU’s profile as a University with a global reach. Speakers include Kevin Xu, a senior software engineer from Github, Inc. (USA), Alex Fischer, data scientist at Trivago (DE) and Iveta Lohovska, chief AI technologist at HP (AT). The roundtable discussion will feature Karl Kugler, head of AI Factory Austria (AT).

The Jamboree will also include a data job market open mic, where companies will briefly advertise open positions and internships. A wine and cheese reception at the end will make it more fun. The keynote and the roundtable will be streamed online.

Schedule 14.00-14.30 Registration 14.30-15.30 First Section Chair: Francesca Conselvan (e-think, AT + CEU) 14.30 Opening remarks by Carsten Schneider, Interim President and Rector, CEU 14.35 Alex Fischer (Trivago, DE) 15.05 Zsófia Katona (valantic, AT) 15.20 Marton Nagy (CEU Gabors Data and AI Lab)

15.35-16.00 Break: networking

16.00-17.15 Second Section Chair: Wolfgang Weidinger (Generali, CEU) 16.00 Lukas Kölbl, (Managing Director of AI and Data, Accenture, AT) 16.30 Iveta Lohovska (Chief Technologist for AI, Data and Supercomputing, HP Enterprise, AT) 17.00 Zoltán Tóth (VDSG, AT + CEU) Vienna Data Science Group 17.05 Job Market (chair: Zoltán Tóth, VDSG)

16.15-17.45 Break: networking

17.45-19.15: Third Section Chair: Gábor Békés (CEU) 17.45**: Gábor Békés (CEU)**: Data and AI Lab, Gergely Daróczi (SpareCores): Data science, education and open source 18.00 Kevin Xu (Github, USA) 18.35 Roundtable: What skills to have in the AI-era in data science teams? With Karl Kugler (Head, AI Factory Austria), Kevin Xu, an Annalisa Cadonna (Advisory AI engineer, IBM, AT), Moderated by Gábor Békés

19.15-20.15 wine and cheese reception

The event is sponsored by CEU’s 1-year Masters in Business Analytics program (accredited in the U.S. as well as Austria). CEU is an English-language research-focused University in Vienna offering graduate and undergraduate education in social sciences.

🎤🎤 Open Mic We will open the stage for job openings and job-seeking announcements. If you’d like to make an announcement, open this slide deck, ensure you are signed in with a Google account, and click “View Only” -> “Request Edit Access”. Please explain in the text box what you would like to announce, and we’ll provide you with edit access to the slide deck. 🎤🎤 ---

Please note that during the event, photos might be taken and later posted on VDSG’s and CEU’s social media pages.

AI in Action: AI Knowledge Graphs & AI Energy Trading

Thu, 27 Nov 2025 18:00:00 +0100

Dear Data Enthusiasts, Join us this time at Medical University of Vienna on the 27th of November to dive deeper in the world of Graphs and AI Agents and AI to advance Energy innovation.

Plug-and-Play AI Memory with Neo4j Knowledge Graphs & AI Agents AI agents are becoming core to modern applications, from copilots that assist knowledge workers to autonomous systems that manage complex workflows. Yet one major challenge remains: memory. Without it, agents lose context, forget past interactions, and often hallucinate - undermining trust and reliability. In this session, you’ll learn how to use a plug-and-play Neo4j knowledge graph as a powerful memory layer for your AI agents. Knowledge graphs capture not just facts, but relationships, allowing your agent to build a living model of conversations, decisions, and data over time. Combined with modern AI services, this approach helps ground responses, reduce hallucinations, and create a feedback loop where agents become more adaptive, contextual, and trustworthy. Through a live demo, we’ll show how to connect graph-powered memory into your AI workflows with minimal setup, so you can build copilots and agentic applications that don’t just respond in the moment, but remember, learn, and evolve with your users.

Zaid Zaim, Developer Advocate at Neo4j As a Developer Advocate at Neo4j, I help developers harness the power of graph technology and AI. A Microsoft MVP and global speaker at events like TED, Microsoft Build, and WeAreDevelopers, I focus on making complex tech accessible through content, community, and hands-on support. My mission is to connect, empower, and inspire developers to build impactful solutions.

Cross-Market Optimization for Batteries and Flexible Assets This presentation will provide a technical introduction to cross-market trading signal generation: continuous data ingestion, forecasting, and optimization to coordinate batteries and flexible assets across reserve, intraday, and day-ahead markets.

Gabriele Libardi, Co-Founder at Marbl. - Machine learning engineer Gabriele Libardi is a data-driven AI professional based in Vienna, currently at Marbl. With a strong foundation in knowledge graphs and applied machine learning, he focuses on leveraging semantic data architectures to drive scalable AI solutions. Gabriele thrives on bridging complex technical concepts and real-world business value, enabling smarter systems across industries.

Note that admission is based on an RSVP list and this is a small and cozy event limited to 40 places! Please make sure that you RSVP and that you have a human-like name set up on Meetup.com :)

We’ll have some food and drinks after the event.

Please note that during the event, photos might be made and later posted on VDSG’s social media page. Please notify us if you do not agree. Attention attendees with food allergies. Please be aware that the food and drinks provided may contain or come into contact with common allergens, such as dairy, eggs, wheat, soybeans, tree nuts, peanuts, fish, shellfish, or wheat. Best, The Organizer Team

News from the AI Factory Austria and Responsible Innovation with Synthetic Data

Thu, 23 Oct 2025 18:00:00 +0200

Hello Data & AI Enthusiasts,

We’re back with another exciting evening at one of our favorite venues, TUtheSky! This time, the AI Factory Austria will provide us with insights into the state of AI in Austria, its connection to EU strategy, and showcase real impact through a concrete project, implemented together with SWISDATA. We’re also thrilled to welcome a representative from MOSTLY AI, who will dive into the topic of responsible innovation with synthetic data by showing their latest open source framework.

We are grateful that this event will be sponsored by Cloudera, one of the leaders in the Data and AI industry, enabling businesses to deploy their data/streaming pipelines and AI models anywhere, be it (multi)cloud or on-premises. And a big thanks goes to our co-organizers from the AI Factory Austria, who supports researchers and companies in accessing advanced computing know-how and infrastructure for applications in life sciences among other scientific domains.

AI Factory Austria AI:AT - Building the Future of AI Together Ann-Sophie Brenk, Mara Weinblatt This keynote provides a concise overview of the current state of Artificial Intelligence in Austria: key figures, emerging trends, and the gaps and opportunities within the national AI ecosystem. It will also highlight Austria’s AI strategy, how it connects to the EU strategy, and why this matters for startups, researchers, and companies. At the center is the AI Factory Austria, its services, programs, community initiatives, and vision for the coming years. A concrete project example will demonstrate real impact and showcase AI:AT Factory’s role within the European context. Specifically, CloudShadingAI will be presented by Dr. Marian Lux, CEO of SWISDATA and AI researcher with more than 25 years of experience. This initiative, co‑funded by Austria’s FFG research agency, LuxActive KG and MetGIS GmbH combined ultra‑high‑resolution terrain data, sunlight simulation, Earth observation data from ESA with novel AI methods to deliver unprecedented short‑term forecasts of direct solar radiation.

Ann-Sophie designs business-focused workshops to support companies in navigating their AI journey within the AI Factory. She brings a background in business consulting with a strong focus on digital transformation. Mara drives community building and co-working at AI Factory AI:AT, fostering collaboration between startups, academia, and industry players in Austria’s AI ecosystem and beyond.

Data Without Barriers: Synthetic Data as a Catalyst for Responsible Innovation Paul Tiwald The ability to access and use high-quality data is becoming a key enabler and bottleneck for innovation across AI and digital systems. Yet privacy, regulation, and data scarcity continue to limit what organizations and researchers can do. Synthetic data generation is a key element in enabling private, responsible, and scalable data-driven innovation. I will walk through how generative AI models can be used to synthesize rich, realistic tabular datasets, and how these can be safely shared and used across use cases, from model and software development/testing to simulation, fairness research, and beyond. The session will include a live walkthrough of our open-source tools, showcasing how easy and accessible synthetic data generation can be today.

Paul Tiwald is Principal AI Researcher at MOSTLY AI, a Vienna-based pioneer in privacy-preserving synthetic data. After leading the company’s AI research team for several years, Paul now focuses on advancing open-source innovation, driving hands-on research, and sharing the potential of synthetic data with broader audiences. With a PhD in theoretical physics and deep expertise in generative modeling, he’s passionate about building ethical, accessible, and high-quality data solutions for the real world.

Note that admission is based on an RSVP list. Please make sure that you RSVP and that you have a human-like name set up on http://meetup.com/ :)

Important: As we will have limited seats available, please be aware that VDSG members will be prioritized!

🎤🎤 Open Mic We are going to open up the stage after the talks for community announcements. If you’d like to announce something, open this slide deck, make sure you are signed in with a google account, and click “View Only” -> “Request Edit Access”. Explain in the text box what you want to announce, and we’ll give you edit access to the slide deck. 🎤🎤 Also, please note that during the event, photos might be made and later posted on VDSG’s social media page. Please notify us if you do not agree. Attention attendees with food allergies. Please be aware that the food and drinks provided may contain or come into contact with common allergens, such as dairy, eggs, wheat, soybeans, tree nuts, peanuts, fish, shellfish, or wheat. Best, The Organizer Team

3D Scene Rendering with ML and Automating Agentic Workflows

Thu, 25 Sep 2025 18:00:00 +0200

Dear Data Enthusiasts!

We are thrilled to be back after the summer break and as usual we have amazing speakers for you. Join us at Cloudflight for insightful talks, engaging discussions and to catch up with your favorite data community.

Gaussian Splatting: Accelerating 3D Scene Rendering with Machine Learning Fabian Hagmann - Software Engineer at Cloudflight

Discover how machine learning can revolutionize the field of 3D scene reconstruction and rendering through Gaussian splatting! In this talk, we’ll explore how ML techniques are used to create high-quality, low-resource renderings from 3D data. We’ll take a look into technical opportunities and current developments. Perfect for ML enthusiasts eager to apply their skills in a new field and dip into visual computing.

Automating Support Workflows with agentic AI Anna Schrenk - Consultant @ Data Technology Marcel Dielacher – Consultant @ Data Technology

We are working on a First Level Support Assistant designed to reduce the workload of human agents by resolving routine queries autonomously. This assistant follows an agentic AI approach to automate and enhance support workflows. In the talk we will explore the technical implementation of the assistant and demonstrate how the assistant dynamically interacts with various tools and data sources to execute tasks.

Note that admission is based on an RSVP list. Please make sure that you RSVP and that you have a human-like name set up on Meetup.com

🎤🎤 Open Mic We are going to open up the stage after the talks for community announcements. If you’d like to announce something, open this slide deck, make sure you are signed in with a google account, and click “View Only” -> “Request Edit Access”. Explain in the text box what you want to announce, and we’ll give you edit access to the slide deck. 🎤🎤 Also, please note that during the event, photos might be made and later posted on VDSG’s social media page. Please notify us if you do not agree. Attention attendees with food allergies. Please be aware that the food and drinks provided may contain or come into contact with common allergens, such as dairy, eggs, wheat, soybeans, tree nuts, peanuts, fish, shellfish, or wheat. Best, The Organizer Team

Summer beer

Wed, 27 Aug 2025 18:00:00 +0200

Dear DS and AI Enthusiasts,

While our regular events are on a summer break until September, we’re not going completely silent. Join us for an informal summer gathering—no talks, no slides, just good conversations and cold drinks!

📍 Where: Strandbar Hermann 📅 When: Wednesday, 27.08 🕕 Time: From 18:00 (after work vibes)

Whether you’re into data science, AI, or just want to enjoy a beer by the water with friendly people, come hang out. Bring friends, colleagues, or just yourself!

See you there! – The VDSG Team 🍻

Data Stammtisch @ Wieden Bräu - 18.03. 18:30

Mon, 18 Mar 2024 18:30:00 +0100

Dear Community,

Let’s get together for a Stammtisch (an informal gathering and discussion) on Monday the 18th of March. This is going to be a free-form event. Join us to get to know each other and have a drink together!

We have a reservation for a larger table at Wieden Bräu (https://wieden-braeu.at/) at 6:30 pm.

Please keep your RSVP updated so we know how many people to expect. See you soon!

Best, The Meetup Organizers

Story Telling for Data Science and Shiny R Dashboards in Production

Mon, 05 Feb 2024 18:00:00 +0100

Hi Data Enthusiasts,

We are back! After a longer Christmas break we are happy to announce our next Meetup on 5th of February!

This time we will focus on the last mile of your Data Science efforts, i.e. how to best present and communicate your findings! Don’t miss these two amazing talks:

They are not listening to your data science project? Make them understand with data storytelling - Dr. Julia Zukrigl
Is ShinyApp in R Production ready - Maria Ines Plaza Schwarck

In addition, Krisztina Szarvas will give you some cool infos about Economics and Business Programs at CEU.

They are not listening to your data science project? Make them understand with data storytelling Neuroscience shows: Our brains are not designed to process data and complexity. That’s why our decision-makers often find it difficult to get excited about our data science projects and implement them. Brain-friendly data communication creates images in the mind (not on dashboards) and makes data easy to digest. Julia shows how you can use data storytelling to convince the audience of your data science project and its results. She gives you simple and scientifically proven communication hacks, which you can implement immediately. Julia Zukrigl is a behavioural scientist, who became a data scientist, where she failed in many data projects because of the communication with decision-makers. Then she remembered her past in behavioral science and applied her knowledge of human decision-making and information behaviour to the world of data, linked it to effective communication techniques and packed it into a method case. Today, she shares this data storytelling method case as a host and trainer in the DATA story LAB.

Is ShinyApp in R Production ready? Maria Ines Plaza Schwarck (Mari Plaza), is a production engineer and MBA which an interesting mix of skills and interests. Her passion for data, process improvement and constant curiosity led her to gain experience on Data Science and Strategy. Her unusual career path provide her with practical knowledge to be an integrator between Domain Knowledge, quantitative methods, technology and how do you communicate the insights.

CEU has informed us that admission must be based on an RSVP list. Please make sure that you RSVP and that you have a human-name-like name set up on Meetup.com :)

🎤🎤 Open Mic We are going to open up the stage after the talks for community announcements. If you’d like to announce something, open this slide deck, make sure you are signed in with a google account, and click “View Only” -> “Request Edit Access”. Explain in the text box what you want to announce, and we’ll give you edit access to the slide deck. 🎤🎤 Also, please note that during the event, photos might be made and later posted on VDSG’s or CEU’s social media page. Please notify us if you do not agree. Attention attendees with food allergies. Please be aware that the food and drinks provided may contain or come into contact with common allergens, such as dairy, eggs, wheat, soybeans, tree nuts, peanuts, fish, shellfish, or wheat.

Zoom Link https://ceu-edu.zoom.us/j/93188576959?pwd=TXI4Nyt4RE15UWZ0eHhrR0pERG95QT09

Presentations: https://drive.google.com/drive/folders/1EYcEJV36ao0QDC9XXHiG56ectEXaYGDR?usp=sharing

Meeting ID: 931 8857 6959 Passcode: 992713

Best, The Organizer Team

Data Science Cafe

Mon, 04 Dec 2023 17:30:00 +0100

Dear Data Science Enthusiast,

the Data Science Cafe is back! After a long break, we are back with 5 exciting mentors.

📍Event Details:

Date: December 4th
Location: WeXelerate, Praterstrasse 1, 1020
Time: 17:30
Link: 20231204_datascience_cafe

🚀 The mentors: Arlind Avdullahi (Machine Learning Engineer, ML Reply): NoCode ML tools Wolfgang Weidlinger (AI, Data Science and Analytics Coordinator, GENERALI): ML End-to-End Zoltan Toth (AI Architect, NordQuant): dbt, Spark, MLOps Florian Thürk (Solutions Architect, Cloudera): Automation Ansible/Terraform Petra Novak (Assistant Professor at the Department of Network and Data Science, CEU): (Machine) Learning with Disagreement

🔎 Event format: Welcoming and introduction of the mentors by the Vienna Data Science Group. Following the introductions, attendees will have the opportunity to delve into discussions that align with their specific interests. We’ll be organizing breakout groups, each facilitated by a mentor who will guide and moderate the group discussions.

⭐️ Why Attend?

Networking: Connect with like-minded professionals in the data science community.
Learning: Gain insights from experienced mentors covering diverse data science topics.
Collaboration: Collaborate with peers in small group settings to explore specific areas of interest.

📝 How to Participate:

RSVP to secure your spot!
Bring your enthusiasm and curiosity.
Prepare to engage in insightful discussions.

A big thank you to WeXelerate for hosting the event!

#DataScienceCafe #NetworkingEvent #ViennaDSG #DataScience #WeXelerate

GenAI's effect on your future + How to Make Models Fair

Mon, 23 Oct 2023 18:00:00 +0200

Hi,

Hi, on 23 October, we’ll get together to tackle two current and important topics:

Shirley Werchota (GenAI Evangelist, BlueSoft) will talk about how GenAI will impact how we use technology and whether and how it will change how we do business in general.
Paul Tiwald (Head of AI Research, MOSTLY AI) will discuss how to craft models that make fair predictions.

GenAI a Technology Revolution? https://www.linkedin.com/in/shirleywerchota/ Shirley Werchota - GenAI Evangelist, BlueSoft

Will GenAI impact the way we use technology, increase and improve our capabilities or will it change the way we do business in general? Sharing my experience, I invite you to share your perspective.

BIO I am passionate about digital humanism, which is the idea that technology should serve and empower people, not the other way around. I’ve been a Big Data Engineer, Data Scientist, Cloud DevOps, Product Owner, C-Level Advisor for Data and Cloud, Business Developer and now a GenAI Evangelist.

Strong Statistical Parity through Fair Synthetic Data. Paul Tiwald - Head of AI Research, MOSTLY AI

I will give a short introduction to tabular synthetic data and then dive deeper on one scenario where it can make the life of Data Scientists easier: crafting models that make fair predictions.

See you there or on Zoom at: Join Zoom Meeting https://ceu-edu.zoom.us/j/95940370973?pwd=bTE0RXJYWTk4TUpLb0xSdDFZMlFXdz09 Meeting ID: 959 4037 0973 Passcode: 552844

Also, the slides from our last meetup are available on Google Drive: https://drive.google.com/drive/folders/1ZS8z27g5GtO-tZeassOloYl7hUNzul9K?usp=sharing

CEU has just informed us that admission must be based on an RSVP list. Please make sure that you RSVP and that you have a human-name-like name set up on Meetup.com :) 🎤🎤 Open Mic We are going to open up the stage after the talks for community announcements. If you’d like to announce something, open this slide deck, make sure you are signed in with a google account, and click “View Only” -> “Request Edit Access”. Explain in the text box what you want to announce, and we’ll give you edit access to the slide deck. 🎤🎤 Also, please note that during the event, photos might be made and later posted on VDSG’s or CEU’s social media page. Please notify us if you do not agree. Attention attendees with food allergies. Please be aware that the food and drinks provided may contain or come into contact with common allergens, such as dairy, eggs, wheat, soybeans, tree nuts, peanuts, fish, shellfish, or wheat.

Best, The Organizer Team

VDSG Summer Drinks II

Thu, 31 Aug 2023 18:30:00 +0200

Hello, fellow data enthusiasts,

Our summer break is almost over, but before we start our regular Meetups in September, let’s have another informal get-together.

Come and join us for a chat at Strandbar Herrmann. The format will be the same as last time: Arrive, Order, Chat.

Once you arrive, look for familiar faces or simply for a group of happy data scientists, and you’ll find us. If you can’t, join this Signal group for the event and ping us there:

https://signal.group/#CjQKIPs9jyd3XRPVHuX0TqZ5yi55wDqmeP_DqDk__7oEGPpaEhAOS_uSrTu3p76sDZwI9nWm

Looking forward seeing you there,

The VDSG Meetup Organizers

VDSG Summer Drinks

Tue, 27 Jun 2023 18:00:00 +0200

Hello, fellow data lovers,

Let’s start the summer with a few drinks after work!

Come and join us for a chat at Strandbar Herrmann. The format will be the same as last year: Arrive, Order, Chat.

Once you arrive, look for familiar faces or simply for a group of happy data scientists, and you’ll find us. If you can’t, join this Signal group for the event and ping us there: https://signal.group/#CjQKINvcSeTQeVsYVFoq1rf4l1SfyT8kednMQEfLe76-Fep-EhCU0Qkyvmm9x7_QzxU4F_b6

Can’t wait to see you there, The VDSG Meetup Organizers

Data Science Cafe - April 2023 - Focus on Employability

Fri, 14 Apr 2023 16:00:00 +0200

This time we are going to focus on employability. We have 6 mentors that would bring their perspectives regarding this topic:

· Mentor sections:

Regina Carvalho Typical Data Science Roles - a quick overview of responsibilities, tasks and skills.
Lin Reimann-Broinger Resumé/ CV check
Matjaž Kovše How to find a nice job in Data Science.
Florian Thürk Perspectives from a hiring manager
Wolfgang Weidinger Building AI Systems end to end. (Focus on team perspective)
Maria Ines Plaza How coaching could help you in the process of finding the right job for you.

Everyone is welcome to come and share their own ideas, or simply explore and decide if there is a project you want to be involved in. You can participate regardless of your experience in Data Science - all you need is some curiosity, your computer, and the willingness to talk to other Data Science enthusiasts around you.

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FINAL DETAILS Please let us know your email address in the mandatory field when RSVPing, so we can include you in the Slack Channel.

What we provide:

A nice location, refreshments and snacks, WIFI, and a friendly environment so you can connect with your colleagues.

What to bring:

A laptop, headsets, writing utensils, collaborative mindset, willingness to apply Data Science and your ideas

VDSG Knowledgefeed – ChatGPT and legal challenges in autonomous driving

Thu, 30 Mar 2023 18:30:00 +0200

Dear Data enthusiasts,

we are happy to announce our March MeetUp at Bosch on the 30th of March. We will have a talks about the current hot topic of ChatGPT as well as the ever increasing importance of legal challenges in autonomous driving.

Schedule:

Welcoming by the VDSG team
Welcoming by Hans-Jürgen Eidler (Bosch)
Talks:
First talk by Isabella Hinterleitner (TechMeetsLegal GmbH)
Second talk by Dirk Bangel (Bosch Group)
OpenMic - announcements by the community
In addition, there will be a demo of Bosch’s EcoSystemDemonstrator Open Platform for autonomous driving
After the talks, as always, comes the favorite part of many: socializing and networking

How the approach behind ChatGPT supports to solve the complexity questions behind infrastructure-based solutions – Dirk Bangel (Bosch Group) Dirk Bangel is in the technical strategy team at the Mobility Company of Bosch. He has a degree in Computer Science at the University of Technology Köln (Cologne) and he has been working for the past 5 years at Bosch in several locations and positions. Dirk published two books, Data Science in a Nutshell and Myth in AI.

Data processing in autonomous driving and legal challenges - Isabella Hinterleitner (TechMeetsLegal GmbH) The motivation for TechMeetsLegal GmbH comes from scientist and founder Dr. DI. Isabella Hinterleitner who is interested in innovations, respectively in how to support companies in their way of making high-tech innovations accessible on the market without having legal constraints. The main focus of this talk will be an intro to autonomous driving form a machine learning point of view and associated challenges in the field of the GDPR and product liability challenges.

----- A special thanks to Bosch Österreich for hosting and sponsoring this event. -----

Doors Open at 18:00 Participation will be online physically this time. ----- Attention attendees with food allergies. Please be aware that the food and drinks provided may contain or come into contact with common allergens, such as dairy, eggs, wheat, soybeans, tree nuts, peanuts, fish, shellfish, or wheat.

Data Science Cafe - February 2023

Fri, 24 Feb 2023 16:00:00 +0100

In this new edition, we have some twists that you probably would like:

· Mentor sections:

Omidreza Amrollahinasab: Stable Diffusion
Annalisa Cadonna: From Academy to Industry.
Wolfgang Weidinger - Building AI Systems end to end.
Frederik Bednar - Governance and pipelines in the modern data stack
Jillian Augustine - Best coding practices in Python.
Maria Ines Plaza - Data4Autism - Data Science hands-on experience. This month focus on production-ready shiny Apps.

· Data4Autism: Here you can explore 4 challenges of solutions that can be implemented using Data Science to help children and people that live with Autism condition. If you are quite knowledgeable about Data Science and now want to challenge yourself, join this section and go from the idea to the product with the guidance of another Data Scientist and the mom of an autistic child.

The challenges are: - Speech to Pictogram - Music composition app to promote verbality - From goal to Data and back again - Backbone to developmental interventions. - Emotional Duolingo.

Not interested in any of these options, no problem. There is always space like our traditional event to join other colleagues and choose your own topic.

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FINAL DETAILS Please let us know your email address in the mandatory field when RSVPing, so we can include you in the Slack Channel.

What we provide:

A nice location, refreshments and snacks, WIFI, and a friendly environment so you can connect with your colleagues.

What to bring:

A laptop, headsets, writing utensils, collaborative mindset, willingness to apply Data Science and your ideas

VDSG Knowledgefeed - reduce injuries in football (EY) and MLOps (Contextflow)

Mon, 20 Feb 2023 18:30:00 +0100

Hi all,

Happy New Year and welcome to this exciting 2023. In February, our Meetups are back, and we cannot wait to see you at CEU on Monday, February 20!

Welcoming by the VDSG team and OpenMic - announcements by the community
First speak by Hernán Villamizar and Vinzenz Halhammer (Ernst and Young)
Second speak by Johannes Hofmanninger (Contextflow)
After the talks, as always, comes the favourite part of many: grabbing a snack and getting to know each other!

🎤🎤 Open Mic We are going to open up the stage after the talks for community announcements. If you’d like to announce something, open this slide deck, make sure you are signed in with a google account, and click “View Only” -> “Request Edit Access”. Explain in the text box what you want to announce, and we’ll give you edit access to the slide deck. 🎤🎤

Using Data Science to reduce injuries in football teams - Hernán Villamizar and Vinzenz Halhammer (Ernst and Young) This talk explores the world of Sports Analytics and dives into one particular use case for injury prevention. Football at the highest level is one of the most demanding due to the tight weekly calendar of matches and training sessions. Under these circumstances, it is very important to balance the training load of all the players, as injuries not only impact the team’s performance but are also quite expensive. We developed a model that takes a variety of factors from training load to medical data into account to support the trainer team in their decisions. Hernán and Vinzent will discuss the main challenges and how valuable such models can be for professional sports in general.

Hernán Villamizar leads the Artificial Intelligence and Advanced Analytics Team at EY Austria. He has a degree in Economics from the University of Vienna and has several years of experience in the conception, development, implementation and management of Data Science based solutions. He consults companies of all sizes and industries, with a focus on the operationalization of fully-fledged solutions for the automatization and optimization of business processes.

Vinzenz Halhammer is Data Scientist at EY Austria. He has a degree in mathematical physics from the University of Vienna. ---

MLOps, from Data to Product - Johannes Hofmanninger (Contextflow) This talk will provide a concise overview of the machine learning life-cycle and MLOps in practice. The talk will cover topics such as data management, model development, validation, deployment, post-market surveillance and how they play a role in ensuring the success and reliability of machine learning systems.

Johannes Hofmanninger studied Medical Informatics at the TU Vienna where he discovered his passion for medical image processing and machine learning. After his studies at TU, he moved on to the Medical University of Vienna to complete a PhD at the Computational Imaging Research Lab. In 2020, he joined Contextflow, a Vienna-based company creating AI-powered tools for radiologists where he currently holds the position of ML development lead

----- A special thanks to Central European University for hosting and sponsoring this event. -----

Doors Open at 18:00
For online participation join the Zoom Meeting at https://ceu-edu.zoom.us/j/99614430984?pwd=WG05ak4vL3BwckZIc2pEdUttNDRRZz09

----- Attention attendees with food allergies. Please be aware that the food and drinks provided may contain or come into contact with common allergens, such as dairy, eggs, wheat, soybeans, tree nuts, peanuts, fish, shellfish, or wheat.

Open Mic - Data Science Cafe - January 2023

Thu, 12 Jan 2023 17:00:00 +0100

We are starting 2023 with an Open Mic - Data Science Cafe.

That means this time there are no mentors, just 100% community driven. At the very beginning, we are going to have 20 - 25 minutes of Open Mic where you can talk with the audience about your ideas and projects that you would like to discuss with your colleagues. No presentation, no monitor, just a mic and 2 minutes for your DS-Pitch. Then we split through the hotel and we talk and/or code as much as we want.

We are not going to offer catering, but you can pay for whatever you consume in the selected location: The Social Hub (THS) Our meeting point is the red bar that is behind at the left after you enter the lobby. It is very close to the Auditorium.

In case you don’t have ideas but still want to join, I will be there with the details of the different challenges for Data4Autism.

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FINAL DETAILS Please let us know your email address in the mandatory field when RSVPing, so we can include you in the Slack Channel.

What we provide:

A nice location, the possibility to buy refreshments and snacks, WIFI, and a friendly environment so you can connect with your colleagues.

What to bring:

A laptop, headsets, writing utensils, collaborative mindset, willingness to apply Data Science and your ideas

VDSG Summer Drinks

Mon, 29 Aug 2022 18:00:00 +0200

Hey fellow data lovers,

Let’s close the summer with a few drinks after work! Come and join us for a chat at Strandbar Herrmann. The format will be the same as with the Summer Eis: Arrive, Order, Chat.

Once you arrive look for the familiar faces or simply for a group of happy data scientists and you’ll find us.

Wulf is going to stay at the bar until 18:15. He is tall enough to serve as a meeting point. In case you don’t know Wulf, he is the tall one on this picture: https://media-exp1.licdn.com/dms/image/C4D22AQFd5G9BSwlfDg/feedshare-shrink_1280/0/1660489435243?e=1664409600&v=beta&t=zTN9oYFXuYPwB4KtPSE_i2s7VzZ9tXrpsYAiWFOatXI

If you are late, look for a large group of people and Wulf ;)

See you there, The VDSG Meetup Organizers

VDSG Summer Eis

Wed, 06 Jul 2022 18:30:00 +0200

Hey fellow data lovers,

Let’s get the summer going with a few scoops of ice cream after work! Let’s come and join us for a chat in Gelateria Castelletto @Schwedenplatz.

See you there, The VDSG Meetup Organizers

Data Stammtisch @ DAS CAMPUS - Thu 7pm

Thu, 05 May 2022 19:00:00 +0200

Dear Community,

Let’s get together for a Stammtisch (an informal gathering and discussion) next Thursday. This is going to be a free-form event. Join us to get to know each other and have a drink together!

We have a reservation for a larger table at DAS CAMPUS (https://www.dascampus.at/) at 7 pm.

Please keep your RSVP updated so we know how many people to expect. See you soon!

Best, The Meetup Organizers

Memorable February - VDSG meets AI Frankfurt

Thu, 17 Feb 2022 18:00:00 +0100

Dear VDSG community,

We have joined forces with our friends at the AI Meetup Frankfurt to deliver a co-hosted event for you. This event is going to be hosted online; we can’t wait to go back to in-person events though, it would be so great to see you! Hopefully we can get something in-person organized soon.

We are going to have two amazing speakers: our first speaker is Sascha Wolter, and he is a well-known community contributor, lecturer, and speaker in the field of human-computer interaction (HMI). He has given talks at many events/conferences, video training in the past. Check out his website for more details: http://www.wolter.biz/.

Then, we have another great speaker: Dr. Andreas Braun, another popular AI Evangelist and an advisor to the European Union (Commission and Parliament), BaFin and Monetary Authority of Singapore (MAS). He consults data technologies, advanced analytics, AI/ML and data protection/privacy (incl. GDPR). Connect with him to know more: https://de.linkedin.com/in/dr-andreas-braun. So you see, both of them are having many years of experience in their own domain and we will hear lots of cool work around AI, and real-world applications in different projects from them.

And, we will also present a short Sci-Fi movie featuring AI to stimulate your thinking. More details on each speakers talks are coming soon. So stay tuned!

NOTE: the zoom details will be updated here a day before the event. P.S: Sign in to Zoom; No sign-up required https://zoom.us/j/99733231443?pwd=QldkQitqTWxneDhPZG1rU1pTeThrdz09

Meeting-ID: 997 3323 1443 Kenncode: 234194

See you soon.

Here is the agenda of our meetup:

18:00 – 18:15; Reception

18:15 – 18:20; A welcome note from organizers

18:20 – 18:50; Speaker I: Sascha Wolter, Chief Advisor at DB Systel GmbH Title: “Bad Bots – Digital Twin thinking for AI and voice”

18:50 - 19:10; Cool AI movie to think about

19:10 – 19:40; Speaker II: Dr. Andreas Braun, Managing Director - Data & AI Lead at Accenture Title: “What catches attention for AI/ML – 2022 and beyond”

19:40 – 19:50; Announcements (open positions, demos, etc.)

19:50 – Socializing

Location: Zoom platform https://zoom.us/j/99733231443?pwd=QldkQitqTWxneDhPZG1rU1pTeThrdz09

Meeting-ID: 997 3323 1443 Kenncode: 234194

This event is sponsored by the AI Lab of Frankfurt School of Finance & Management by providing Zoom platform and D&B Interactive providing for office space. We thank both our hosts for helping us so.

X-Europe DS: Data-Centric AI Practices

Fri, 10 Dec 2021 18:00:00 +0100

In computer vision projects, managing data is often an afterthought. That is why at least 31% of projects fail. Davit Buniatyan, CEO of Activeloop, will talk about how to build a solid data foundation to train more accurate and cost-effective computer vision models. In this session, you will learn about Hub, an open-source dataset format for AI. Hub works with computer vision datasets of any size and enables easy creation, storage, version control, and streaming to ML frameworks while training. Moreover, you will learn how to apply the data-centric framework to resolve common data bottlenecks when using tools like Amazon SageMaker. The speaker will also demonstrate how to visualize and explore datasets – from MNIST to ImageNet. As a result of the session, you will be able to easily build computer vision data pipelines and fully utilize the compute resources.

REGISTRATION INFO

–»> Registration link: https://datacentric-ai-practices.carrd.co/ «<– Please also RSVP here on the Meetup Page.

Our Speaker

Davit Buniatyan LinkedIn: https://www.linkedin.com/in/davidbuniatyan/ Twitter: https://twitter.com/dbuniatyan GitHub: https://github.com/davidbuniat Google Scholar: https://scholar.google.com/citations?user=2630BAkAAAAJ&hl=en

Davit Buniatyan is Founding CEO at Activeloop.ai (Y Combinator member that recently raised $5M seed investment)

ABOUT THE X-EUROPE DATA SCIENCE WEBINARS

X-Europe Webinar Series is a joint online event of Vienna Data Science Group, Frankfurt Data Science, Budapest Data Science Meetup, BCN Analytics, Budapest.AI, Barcelona Data Science and Machine Learning Meetup, Budapest Deep Learning Reading Seminar, Data Science Croatia, Warsaw R Users Group, PyData Slovakia, and Data Scientists Ireland.

X-Europe: Digitizing Construction with AI

Wed, 10 Nov 2021 17:00:00 +0100

Hi Everyone,

X-Europe Webinars is back with an exciting talk about AI in Construction Projects!

Please RSVP here for the event AND Register on the webinar’s page: https://bit.ly/x-europe-webinar

Join our Webinar: Digitizing Construction with AI on Wednesday,10th November at 6 pm CET to learn how to apply machine learning and artificial intelligence to the 21st-century construction site.

About the Talk:

From this talk, you will learn how Scaled Robotics specialists provide highly accurate and precise quality control and progress information on complex construction projects using 3D computer vision, 3D machine learning, and nonlinear optimization. Deep understanding of techniques in 3D to solve complex real-world problems significantly how reality diverges from research.

About the Speaker:

Bharath Sankaran, roboticist by training with expertise in computer vision, machine learning and manipulation, CTO and co-founder of Scaled Robotics.

See you there!

Causal Inference at Lyft

Wed, 23 Jun 2021 18:00:00 +0200

ABOUT THE SPEAKER

Data scientist, social scientist, statistician, and software developer. Sean mostly specializes in methods for solving causal inference and business decision problems, and particularly interested in building tools for practitioners working on real-world problems. He is a generalist, who likes to hang out with people from many fields and borrow as many ideas as possible. He has collaborated with computer scientists, economists, political scientists, statisticians, machine learning researchers, and business school scholars. It’s fun for Sean to jump around a bit, continue learning new things and make connections between fields. Background: Ph.D. student at NYU’s Stern School of Business, ex-research scientist and manager on Facebook’s Core Data Science Team and currently head of the Rideshare Labs team at Lyft. https://seanjtaylor.com/

ABOUT THE TALK

Improving two-sided marketplaces like Lyft’s ridesharing business is accomplished when we implement better matching algorithms that create more efficient allocations. However, marketplaces generate complex causal graphs which make counterfactuals difficult to reason about and estimate. I describe the causal effects of matching we must estimate to allocate drivers to requests, and the potential confounding problems that bias estimates from more standard machine learning approaches. We will then discuss how causal inference ideas can be applied in related settings like search, ranking, and recommender systems.

ABOUT THE X-EUROPE DATA SCIENCE WEBINARS

X-Europe Webinar Series is a joint online event of Vienna Data Science Group, Data Science Croatia, Frankfurt Data Science, Budapest Data Science Meetup, BCN Analytics, Budapest.AI, Barcelona Data Science and Machine Learning Meetup, Budapest Deep Learning Reading Seminar, Warsaw R Users Group, PyData Slovakia, and Data Scientists Ireland.

Modeling difficulty of English exercises - probabilistic programming approach

Wed, 12 May 2021 17:00:00 +0200

Selecting test exercises with an appropriate difficulty level is one of the most important aspects of a high-quality assessment, but how do we know how difficult a given exercise is?

One of the possible approaches is to use Item Response Theory - a set of psychometric models which can be used to estimate learners’ proficiency and parameters of each exercise. This approach works well in most cases, however, is data intensive. So, the question arises what to do when we don’t have enough data, when for example, we are introducing some new exercises.

Fortunately, probabilistic programming comes to our aid. Using Greta, we can build a custom IRT model, that allows us to quantify how different features of exercises impact their difficulty. In this talk, we will introduce the audience to the basics of IRT and probabilistic programming through a real-world application - estimating the difficulty of English tasks. For this purpose, we will use the previously mentioned Greta package, which lets us write statistical models in native R and sample from them automatically and efficiently.

REGISTRATION INFO

–»> Registration link: https://xeurope-exercises.carrd.co/ «<– Please also RSVP here on the Meetup Page.

Our Speaker

Damian Wiatrzyk LinkedIn https://www.linkedin.com/in/damian-wiatrzyk-91803072/

Damian Wiatrzyk graduated from the Poznań University of Technology with a Bachelor’s degree in Computer Science. Currently, he is studying for a Master’s degree in Data Science at Adam Mickiewicz University and working as an Associate Data Scientist at Pearson IOKI.

ABOUT THE X-EUROPE DATA SCIENCE WEBINARS

X-Europe Webinar Series is a joint online event of Vienna Data Science Group, Frankfurt Data Science, Budapest Data Science Meetup, BCN Analytics, Budapest.AI, Barcelona Data Science and Machine Learning Meetup, Budapest Deep Learning Reading Seminar, Warsaw R Users Group, PyData Slovakia, and Data Scientists Ireland.

Data Excellence Strategy of the city of Vienna - VDSG at CEU

Thu, 29 Apr 2021 16:30:00 +0200

Thursday, April 29, 2021, 4:30 pm – 5:00 pm Speaker Brigitte Lutz | City of Vienna

===================

JOIN HERE AT 16:30: https://ceu-edu.zoom.us/j/93728128671?pwd=b3VsQ1FnSXdxY1dzdVFHL3hwTmpSUT09

===================

Data Excellence Strategy of the City of Vienna

Using the example of the City of Vienna, a data excellence strategy, [open] data governance, urban data management and the excellent handling of data are explained.

OUR SPEAKER: Brigitte Lutz

Brigitte Lutz works at the CEO-Offices -Executive group for Organisation, Safety and Security / process management and ICT strategy of the City of Vienna. She has been an ICT expert for various fields, project manager, senior process manager (SPcM) and e-government expert. She is Data Governance coordinator, responsible for the IT project portfolio management, coordination of the Open Government competence center of the City of Vienna and for national and international cooperations.

Brigitte Lutz is founding member and speaker of the “Cooperation Open Government Data (OGD) Österreich”, where federal government, states, cities and towns want to prepare a fertile soil for cooperation with the communities, science, culture and economy for the future of Open Government Data in Austria.

X-Europe Webinar #17 - Apache Arrow & Flight on Data Lakes

Wed, 24 Mar 2021 17:00:00 +0100

Data and analytics for all: Separation of Data tier and Zero Copy powered by Apache Arrow & Flight and Dremio

In an effort to be data-driven, many organizations are looking to democratize data. However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs. To address this, a next-gen cloud data lake architecture has emerged that brings together the best attributes of the data warehouse and the data lake. This new open data architecture is built to maximize data access with minimal data movement and no data copies.

How the “no data copy” approach dramatically streamlines data workflows while reducing security and governance overhead Why agile development concepts, when applied to the data tier, can dramatically increase data engineering agility How to separate compute and data by preserving data in open file and table formats How a next-generation cloud data lake architecture brings together the best attributes of data warehouse and data lakes to truly democratize data

REGISTRATION INFO

–»> Registration link: https://apache-arrow-datalake.carrd.co/ «<– Please also RSVP here on the Meetup Page.

Our Speaker

Viktor Kessler LinkedIn: https://www.linkedin.com/in/viktor-kessler/ Twitter: https://twitter.com/ViktorKessler

Viktor Kessler is a Senior Solutions Architect at Dremio and an ex-MongoDB Senior Solutions Architect.

ABOUT THE X-EUROPE DATA SCIENCE WEBINARS

X-Europe Webinar Series is a joint online event of Vienna Data Science Group, Frankfurt Data Science, Budapest Data Science Meetup, BCN Analytics, Budapest.AI, Barcelona Data Science and Machine Learning Meetup, Budapest Deep Learning Reading Seminar, Warsaw R Users Group, PyData Slovakia, and Data Scientists Ireland.

X-Europe Webinar #16 - Machine learning in drug discovery

Wed, 10 Mar 2021 18:00:00 +0100

Drug discovery R&D is still a huge challenge for the pharmaceutical industry. It is expensive, has a high percentage of failure in programmes and this translates into a high societal cost. In this talk, we will give an overview of the world of how the BenevolentAI platform is trying to improve and speed up the process of drug discovery by using machine learning in different areas, focusing more in the area of chemistry.

REGISTRATION INFO

–»> Registration link: https://ml-in-drug.carrd.co/ «<– Please also RSVP here on the Meetup Page.

WATCH OUT! WE ARE STARTING AT 6 pm this time!

Our Speaker

Ana Solaguren-Beascoa Negre

https://www.researchgate.net/profile/Ana-Solaguren-Beascoa

Ana studied physics at University of Barcelona and did her PhD in theoretical particle physics at the TUM - max plank institut fuer physik. She has been living in London for over 4.5 years and working as a data scientist for 3.5 years. She spent 2.5 years working in a fintech and about a year ago she moved to benevolent AI.

ABOUT THE X-EUROPE DATA SCIENCE WEBINARS

X-Europe Webinar Series is a joint online event of Vienna Data Science Group, Frankfurt Data Science, Budapest Data Science Meetup, BCN Analytics, Budapest.AI, Barcelona Data Science and Machine Learning Meetup, Budapest Deep Learning Reading Seminar, Warsaw R Users Group, PyData Slovakia, and Data Scientists Ireland.

X-Europe Webinar #15 - Data Science for (gender) equality

Wed, 24 Feb 2021 17:00:00 +0100

Data Science for (gender) equality

In this talk I will discuss the role of artificial intelligence in precision Despite improvements, women in STEM are still facing more challenges than their male colleagues: they earn less, more likely to leave their tech job being, and their work receives less acknowledgment. These disparities persist, despite evidence that integrated female members increase the overall intelligence of teams and gender heterogeneous teams are more creative and productive. Recent years’ scandals in the tech industry brought attention to women’s marginalization in STEM. In my talk, I will showcase large-scale data-driven studies from my research to illustrate that increasing the number of women itself will not solve the problem. On examples from open source software engineering, video game development, and organizational collaborations I will describe why we should not focus only on diversity and how data science can help to fight against unconscious bias.

REGISTRATION INFO

–»> Registration link: https://x-europe-ds-for-equality.carrd.co/ «<– Please also RSVP here on the Meetup Page.

Our Speaker

Orsolya Vasarhelyi, PhD Postdoctoral Researcher, University of Warwick

https://www.linkedin.com/in/orsolya-vasarhelyi-43132925/

Orsolya Vasarhelyi, Ph.D. is a data scientist, educator, and public speaker. Her research focuses on how network and data science can lead to a better understanding of unconscious bias in STEM. Currently, she is interested in developing data-driven methods to quantify inclusion and understand the impact of artificial agents on human collaborations. She is an ambassador of the Women in Data Science Conference[1] at Stanford University and a member of the Data Science for Social Good Alumni[2].

[1]https://www.widsconference.org/ [2]https://dssg.uchicago.edu/

ABOUT THE X-EUROPE DATA SCIENCE WEBINARS

X-Europe Webinar Series is a joint online event of Vienna Data Science Group, Frankfurt Data Science, Budapest Data Science Meetup, BCN Analytics, Budapest.AI, Barcelona Data Science and Machine Learning Meetup, Budapest Deep Learning Reading Seminar, Warsaw R Users Group, PyData Slovakia, and Data Scientists Ireland.

X-Europe Webinar #14 What can AI bring to the table in medicine?

Wed, 27 Jan 2021 17:00:00 +0100

Automation or exploration: what can AI bring to the table in medicine?

In this talk I will discuss the role of artificial intelligence in precision medicine. We will discuss how it has impact on areas ranging from routine healthcare, to the development of novel treatment strategies and diagnostic paradigms. I will focus on a key aspects that brought surprises during the last few years, when the expectation of the impact of AI was quite different from the direction reality took. Examples will include medical imaging, prediction of individual treatment response, and the exploratory identification of novel disease phenotypes in large-scale data.

REGISTRATION INFO

–»> Registration link: https://automation-or-exploration.carrd.co/ «<– Please also RSVP here on the Meetup Page.

Our Speaker

Georg Langs, Chief Scientist, contextflow GmbH - www.contextflow.com; Associate Professor, Director Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna - www.cir.meduniwien.ac.at

Georg Langs is chief scientist at contextflow GmbH, and heads the Computational Imaging Research Lab at the Medical University of Vienna. He was a Research Scientist at the Computer Science and Artificial Intelligence Lab at MIT, where he still holds an affiliate position. His work focusses on the development of new machine learning techniques in the context of medical imaging and precision medicine. Results include prediction models for disease course and treatment response in both the delivery of care, and the development of novel strategies.

https://www.linkedin.com/in/georg-langs/

ABOUT THE X-EUROPE DATA SCIENCE WEBINARS

X-Europe #13 - Make It or Break It, How Product Analytics Helps Build Products

Wed, 13 Jan 2021 17:15:00 +0100

Make It or Break It - How Product Analytics Helps Building Software Products

Ever since Data Science was deemed as the sexiest job of the 21st century by HBR in the early 2010s, everyone is obsessed with building the coolest, shiniest, most complex machine learning algorithms available. And rightfully so — it is super exciting and can be mind-bending at times. However, in the past 3.5 years, I have realized that it’s all nice and stuff but unless you have the basics covered, your awesome recommending engine won’t do much for your product. So I have worked with my stakeholders to understand our consumers and how we can build a product that suits their needs - and maybe even makes their life a little bit better. I will talk about how to measure the success of a software product through real-life examples, and how to deal with stakeholders used to listening to their gut - or fixated on building a complex model for a simple task.

Registration

Registration link: https://x-europe-with-anna-szell.carrd.co/ Please also RSVP here on the Meetup Page.

WATCH OUT! We are starting 15 minutes later than normal, at 17:15 CET.

Speaker

Anna Szell, Product Data Scientist at Shapr3D https://www.linkedin.com/in/annaszell/

I’ve started my data journey in early 2016 while working at PwC, and have been obsessed with building products that consumers love ever since. Among other things, I was part of the team building a loyalty app for Pampers in its early days, spent 1 year at Skyscanner leading app product analytics, and most recently I am working at Shapr3D, where we are disrupting the CAD industry.

ABOUT THE X-EUROPE DATA SCIENCE WEBINARS

X-Europe Webinar #12 - Preserving Wildlife with Computer Vision

Wed, 09 Dec 2020 17:00:00 +0100

Register

https://wildlife-cv.carrd.co/

Speaker

Jędrzej Świeżewski’s current main focus is exploring computer vision. Both the applications of it in commercial and AI for Good domains, and probing the boundaries of the applicability of the tools involved to new domains. He has worked as a data science consultant for a few years. His background is in theoretical physics, where he got a PhD in quantum and classical general relativity. In his free time Jędrzej enjoys skiing and ice skating.

LinkedIn https://www.linkedin.com/in/swiezew/

Description

In this talk, I will discuss how at Appsilon we have managed to assist wildlife conservationists in their efforts in central Africa. I will describe the challenges and share some treats of working with a real-world wildlife dataset. I will cover modelling results, and explain how our work was (and is being) used by the conservationists. I will argue that the skills of a data scientist can be of great assistance for domain experts and hence the data science community can contribute a great deal through AI for Good initiatives.

ABOUT THE X-EUROPE DATA SCIENCE WEBINARS

This is a joint online event of Vienna Data Science Group, Frankfurt Data Science, Budapest Data Science Meetup, BCN Analytics, Budapest.AI, Barcelona Data Science and Machine Learning Meetup, Budapest Deep Learning Reading Seminar and Warsaw R Users Group.

Get Started with ML in Azure Quantum Computing with Q# - X-Europe Webinars #11

Wed, 25 Nov 2020 17:00:00 +0100

############### Register

https://quantum-ml.carrd.co/

############### Speaker

Pamela Krzypkowska. Part of Microsoft technical team. Previously, worked mainly as a developer in the areas of internet of things, natural language processing, and in the areas of analytics and automation. A graduate of Computer Science at the Warsaw University of Technology and a student of Philosophy at the University of Warsaw. Her more-or-less professional interests include: artificial intelligence, cognitive science and philosophy of mind.

LinkedIn https://www.linkedin.com/in/pamela-krzypkowska/

############### Description

The purpose of the session is to showcase Microsoft Quantum Development Kit and to demonstrate how Quantum Computing tools can be used for building Machine Learning algorithms with Azure Quantum. During the talk, I will show you how to use QDK (Quantum Development Kit) to create a model for the classification of a standard dataset in Q#. At last I will present the differences in the standard approach to ML and describe the profit from the use of quantum data processing tools.

################## ABOUT THE X-EUROPE DATA SCIENCE WEBINARS

Pie & AI: Vienna - Maximizing Inferencing Efficiency with Model Quantization

Thu, 19 Nov 2020 17:00:00 +0100

Welcome to our fifth online Pie & AI event!

Pie & AI is a series of deeplearning.ai meetups independently hosted by community groups. This event is hosted by the Vienna Data Science Group.

Make sure you also register for the Webinar through this link:

https://event.webinarjam.com/channel/5thViennaPieAndAI Access to the meetup stream will be provided via email upon WebinarJam registration.

DESCRIPTION

Maximizing Inferencing Efficiency with Model Quantization

Google’s first-generation of TPUs, Tesla’s Full-Self-Driving hardware, and NVIDIA’s latest GPU architectures have one thing in common: they rely on few-bit integer operations to maximize the efficiency of inferencing a trained neural network. This talk will explore how network quantization translates a standard floating-point network into one that runs with integer-only computations. We will discuss what this means for the accuracy and other properties of the network. Finally, we will examine what we can already do during training to avoid a loss in accuracy when running a network with integer operations.

SPEAKER

Mathias Lechner is a third-year PhD student at IST Austria working with Prof. Thomas Henzinger. His research lies at the intersection of deep learning, trustworthy AI, and verification. The results of his research work have been published at pioneer AI venues, including NeurIPS, ICLR, ICML, and Nature Machine Intelligence. Before joining IST Austria, he has interned at MIT CSAIL, Daniela Rus’ Lab. He received his MSc. and BSc. in Computer Engineering from the Vienna University of Technology (TU Wien), Austria, where his MSc. thesis received the Distinguished Young Alumnus-Award, at TU Wien’s Faculty of Informatics.

https://mlech26l.github.io/pages/about/ https://www.linkedin.com/in/mathias-lechner-4008b0154/

AGENDA

17:00 - Introduction and Greeting Video 17:15 - Main Talk 17:45 - Q&A

X-Europe Webinar #10 Tools for Explainable Artificial Intelligence

Wed, 04 Nov 2020 17:00:00 +0100

MEETUP DESCRIPTION Unverified black-box model is a path to failure. Opaqueness leads to distrust. Distrust leads to ignoration. Ignoration leads to rejection.

############### Register

https://tools-xai.carrd.co/

############### Speaker

Hubert Baniecki is a Data Science student at Faculty of Mathematics and Information Science, Warsaw University of Technology. Working as a Research Software Engineer at MI2 DataLab (research group lead by Przemyslaw Biecek). Developing tools for Explainable AI and contributing to the open-source community (R & Python packages). Researching ML in the context of interpretability, adversarial attacks and interactive model exploration.

LinkedIn https://www.linkedin.com/in/hbaniecki/

############### Description

DrWhy.AI [1] is the collection of tools for Explainable AI (XAI). It’s based on shared principles and simple grammar for exploration, explanation and examination of predictive models [2]. The main concept implies using model-agnostic post hoc explanations to visualize black-box model complex behaviour.

In the talk, I will provide a background for why XAI has become an integral part of the model development process. Later I plan to briefly showcase several tools implementing interfaces that enhance the model explanation process in Python and R. I will mainly focus on DALEX [3] (a tool with >650 stars on GitHub). Listeners will have a chance to get familiar with the basics of model explanation and bias detection on a practical use case.

[1] https://github.com/ModelOriented/DrWhy [2] https://pbiecek.github.io/ema/ [3] https://github.com/ModelOriented/DALEX

################## ABOUT THE X-EUROPE DATA SCIENCE WEBINARS

Pie & AI: Vienna - Why You Should Start Using AI-generated Fake Data

Thu, 22 Oct 2020 17:00:00 +0200

Welcome to our fourth online Pie & AI event!

Pie & AI is a series of deeplearning.ai meetups independently hosted by community groups. This event is hosted by the Vienna Data Science Group.

There are a few steps to complete registration, please carefully follow the next steps:

(1) In Addition to RSVPing here, make sure you also register for the Webinar through this link:

https://event.webinarjam.com/channel/4th-PieAI-Vienna Access to the meetup stream will be provided via email upon WebinarJam registration.

(2) Please complete your registration on the deeplearning.ai signup form here: https://forms.gle/gowTrXDxE2PUtjkZ6

After the event, we will provide a limited course promo code for attendees who sign up through the form and complete a post-event survey sent by deeplearning.ai after the event. The code is for 50% off first-month subscription to any of deeplearning.ai’s courses on Coursera.

DESCRIPTION

Why You Should Start Using AI-generated Fake Data

Up to 75% of data stored in enterprises is estimated to sit unused. Nonetheless, synthetic data generation is one of the fastest growing fields in AI. Why would anyone want to create more data if they aren’t using what they already have? In this talk, we will explore how synthetic data generation can help leverage more of today’s available data. Privacy concerns are one of the most common factors limiting data usage and one for which synthetic data provide a unique solution. In addition, synthetic data can also help counteract imbalanced and biased data. Using practical examples, we will showcase what can already be achieved with today’s available methods. Finally, we will explore tools available to explore the field and gain insights on the potential and challenges involved.

SPEAKER

Klaudius Kalcher is Co-Founder and Chief Data Scientist at MOSTLY AI, a software technology company that provides synthetic data solutions to enterprises in multiple industries. His focus is on measuring and improving the utility and privacy of synthetic data, as well as exploring how synthetic data can improve the experience of working with data.

https://www.linkedin.com/in/klaudiuskalcher/ https://mostly.ai/

AGENDA

17:00 - Introduction and Greeting video by Andrew Ng 17:15 - Main Talk 17:45 - Q&A

Gradient Boosting Machines - From Zero to Hero - X-Europe Webinars

Wed, 14 Oct 2020 17:00:00 +0200

Gradient Boosting Machines (GBM): from Zero to Hero (with R and Python code)

This talk will get you started with gradient boosting machines (GBM), a very popular machine learning technique providing state-of-the-art accuracy on numerous business prediction problems. After a quick intro to machine learning and the GBM algorithm, I will show how easy it is to train and then use GBMs in real-life business applications using some the most popular open source implementations (xgboost, lightgbm and h2o). We’ll do all this in both R and Python with only a few lines of code and this talk will be accessible for a wide audience (with limited prior knowledge of machine learning). Finally, in the last part of the talk I will provide plenty of references that can get you to the next level. GBMs are a powerful technique to have in your machine learning toolbox, because despite all the latest hype about deep learning (neural nets) and “AI”, in fact GBMs usually outperform neural networks on structured/tabular data most often encountered in business applications.

OUR SPEAKER

Szilard Pafka, PhD Chief Scientist, Epoch (USA)

Szilard studied Physics in the 90s and obtained a PhD by using statistical methods to analyze the risk of financial portfolios. He worked in finance, then more than a decade ago moved to become the Chief Scientist of a tech company in Santa Monica, California doing everything data (analysis, modeling, data visualization, machine learning, data infrastructure etc). He is the founder/organizer of several meetups in the Los Angeles area (R, data science etc) and the data science community website datascience.la. He is the author of a well-known machine learning benchmark on github (1000+ stars), a frequent speaker at conferences (keynote/invited at KDD, R-finance, Crunch, eRum and contributed at useR!, PAW, EARL, H2O World, Data Science Pop-up, Dataworks Summit etc.), and he has developed and taught graduate data science and machine learning courses as a visiting professor at two universities (UCLA in California and CEU in Europe). LinkedIn: https://www.linkedin.com/in/szilard Twitter: https://twitter.com/DataScienceLA Github: https://github.com/szilard

ABOUT THE X-EUROPE DATA SCIENCE WEBINARS This is a joint online event of Vienna Data Science Group, Frankfurt Data Science, Budapest Data Science Meetup, BCN Analytics, Budapest.AI, Barcelona Data Science and Machine Learning Meetup, Budapest Deep Learning Reading Seminar and Warsaw R Users Group.

The Strong ML Hypothesis - X-Europe Webinars

Wed, 30 Sep 2020 18:00:00 +0200

WATCH OUT! THIS EVENT FEATURES A SPEAKER FROM US WEST COAST. WE ARE STARTING AT 6pm!

Registration: https://ml-hypothesis.carrd.co/

The strong machine learning hypothesis can be roughly stated as: “test set generalization is all that matters” with the corollary that “scaling is all we need”. These ideas are propelling much of the recent work and excitement in machine learning. I will list four reasons why the hypothesis is not likely to be true and two why scaling is not promising even if the hypothesis were true.

SPEAKER: https://www.linkedin.com/in/piccolbo/ Antonio Piccolboni is a Data Scientist with 30+ years of experience, including a decade in bioinformatics. He started working on neural networks as a student during the second “AI winter” and has been a keen observer and at times a user of the technology ever since. His main claim to fame is the most widely adopted R package for Hadoop, rmr2, which has been downloaded more than 1M times. He recently switched his focus to the climate crisis.

X-Europe - Can Telematics Data Identify Risky Drivers?

Wed, 16 Sep 2020 17:00:00 +0200

Hi everyone. We hope you had a great summer, welcome to the new season!

RSVP HERE AND THEN REGISTER TO THE WEBINAR AT THIS LINK: http://bit.ly/x-europe-ds-7

TALK

Many insurance companies collect telematics data about drivers’ exposure to traffic (distance driven and type of road) and their driving behavior (excess speed, aggressiveness, operating hours). Actuaries, who are experts in risk analysis for insurers, use this information to improve the insurance rate-making process. Personalized driving risk indicators can also promote driving safety. The starting point is data collected from inertial measurement units installed in vehicles, combined with the corresponding records of accidents. We will address the most relevant current challenges in driving risk measurement. Illustrations with several real data sets provided by insurance companies will answer questions: How should pay-per-mile insurance schemes be designed? How can near-miss telematics be used to identify risky drivers? What is the power of risk analytics, percentile charts, and reference curves to monitor drivers? We will emphasize the enormous potential of this field to design better insurance products and improve safety. We will perhaps be able to guess why Tesla is urgently looking for actuaries in the last few weeks.

OUR SPEAKER

Montserrat Guillen has a Ph.D. in Economics, MSc in Mathematical Statistics, and MA in Data Analysis. Professor at the University of Barcelona & Director of Riskcenter – Research Group on Risk in Insurance and Finance. Montserrat is a specialist in Actuarial Science and Insurance. Top-ten cited author (ResearchGate). Optimistic likes understanding data and mitigating risks. Loves having friends from around the world.

X-Europe Webinars

Pie & AI: Vienna - Process Mining in Production, Data Analysis in Machining

Thu, 10 Sep 2020 17:00:00 +0200

Welcome to our third online Pie & AI event!

Pie & AI is a series of deeplearning.ai meetups independently hosted by community groups. This event is hosted by the Vienna Data Science Group.

There are a few steps to complete registration, please carefully follow the next steps:

(1) In Addition to RSVPing here, make sure you also register for the Webinar through this link:

https://event.webinarjam.com/channel/VDSG-PieAI-Vienna Access to the meetup stream will be provided via email upon WebinarJam registration.

(2) Please complete your registration on the deeplearning.ai signup form here: https://docs.google.com/forms/d/e/1FAIpQLSe247FUJO8rYEW47YcjdxmMMAda7S3T-xun1xQ8zBFhpSEZzQ/viewform?_hsenc=p2ANqtz-9Edlm12sqJggSvw4zWEWn6pccs5l753aJ_U3v-X8p8jYg4fkKmyan3m1w7ojM9VvjdPOLr

DESCRIPTION

Process Mining in Production, Data Analysis in Machining

Digitization is finding its way into production. The goal is to create a defined transparency state in the first step. This requires a defined process understanding which enables sustainable processes optimization through the gained transparency. Using the example of machining, the aim of this study is to show how the use of association analysis can be used to optimize the tools being used for machining.

SPEAKERS

Dr. Lukas Prasol Since 08/2018 – Global Program Lead, Hilti AG 03/2017 – 06/2018 – Head of Department, Fraunhofer IPK 10/2020 – 06/2018 – Chief Engineer / Group Leader / Research Associate, TU Berlin 01/2007 – 06/2009 – Test Engineer, BAM Berlin https://www.linkedin.com/in/dr-lukas-prasol-488a37191/

Julia Sasse since 07/2020 Project Manager, Hilti AG https://www.linkedin.com/in/julia-sasse-9090221b6/

AGENDA

17:00 - Introduction and Greeting video by Andrew Ng 17:15 - Main Talk 17:45 - Q&A

DSS Elevate Virtual Salon

Thu, 30 Jul 2020 18:30:00 +0200

The DSS Elevate Virtual Salon is taking place on July 30th with a series of interesting talks for female specialists, by female specialists. They offered the first 10 tickets for free for our community. Please find the details below, and contact contact@vdsg.at if interested in free tickets:

Date: Thursday, July 30th, 18:30 - 22:30 (CET) Location: online Website: https://www.datascience.salon/dss-elevate-virtual-conference-july-30/

DESCRIPTION

DSS Elevate Virtual Salon is a unique female-focused virtual salon bringing together specialists to educate each other, illuminate best practices, and innovate new solutions. Female thought leaders share their wisdom and experience in their chosen field.

Join 500+ attendees to learn from practitioners, technical experts and executives how to solve real-world problems by harnessing the power of data, artificial intelligence, machine learning, and cutting-edge technologies.

Sample of topics covered:

Machine learning best practices
Data strategy and governance
Data ethics and bias
Recommendation engines
Designing ML pipelines efficiently
Career paths
Hiring and Recruitment
Seeking mentorship with purpose
The importance of female-first spaces
Navigating male-dominated teams
Overcoming imposter syndrome
Data science teams: managing, building, collaboration
Integrating open source tools into your workflows
Data and AI for emerging platforms
Data governance

For more information follow the link https://www.datascience.salon/dss-elevate-virtual-conference-july-30/

Pie & AI: Vienna - Deep Learning in Algorithmic Trading

Fri, 24 Jul 2020 17:00:00 +0200

Hi,

Welcome to our second online Pie & AI Event!

Pie & AI is a series of deeplearning.ai meetups independently hosted by community groups. This event is hosted by the Vienna Data Science Group.

There are a few steps to complete registration, please carefully follow the next steps: (1) In Addition to RSVPing here, make sure you also register for the Webinar through this link:

https://event.webinarjam.com/channel/VDSG-PiaAI-Vienna Access to the meetup stream will be provided via email upon WebinarJam registration.

(2) Please complete your registration on the deeplearning.ai signup form here: https://docs.google.com/forms/d/e/1FAIpQLSfO_6MQv0B95fJjGwgKGKQCvUtoeY4JEk7LofZE8qGqdBxyKQ/viewform .

DESCRIPTION

Deep Learning in Algorithmic Trading - Lessons Learned in the Real World

This talk provides a critical view on employing machine learning / deep learning methods in algorithmic trading. We highlight the particular challenges that we meet in this domain along with approaches to tackle some of these challenges in practice. Even though experience has shown that algorithmic trading using advanced machine learning can be successful, the crucial issue remains that predictive patterns utilizing market inefficiencies quickly become void as soon as competing market participants use them too. The conclusion is that the crucial advantage is - and has always been - to know more and to be faster than competitors.

OUR SPEAKER

Dr. Ulrich Bodenhofer

MSc (applied math, Johannes Kepler University, Linz, Austria, 1996) PhD (applied math, Johannes Kepler University, Linz, Austria, 1998) Since June 2018: Chief Artificial Intelligence Officer at QUOMATIC.AI (Linz, Austria)

https://www.linkedin.com/in/ulrichbodenhofer/ http://ulrich.bodenhofer.com/ https://www.quomatic.ai/

AGENDA

17:00 - Introduction and Greeting video by Andrew Ng 17:15 - Main Talk 17:45 - Q&A

Joint Webinar: Deep Self-Supervised Learning for All

Wed, 15 Jul 2020 18:00:00 +0200

ADD TO YOUR CALENDAR HERE: https://bit.ly/38I2uvL

ABOUT TALK Deep neural networks have achieved outstanding results in various applications such as vision, language, audio, speech, or reinforcement learning. These powerful function approximators typically require large amounts of data to be trained, which poses a challenge in the usual case where little labeled data is available. During the last year, multiple solutions have been proposed to leverage this problem, based on the concept of self-supervised learning, which can be understood as a specific case of unsupervised learning. This talk will cover its basic principles and provide examples in the field of multimedia.

ABOUT SPEAKER Be ready for a long and interesting list of experiences, titles, and recognitions that our guest Xavier has.

Xavier Giro-i-Nieto is an associate professor at the Universitat Politecnica de Catalunya (UPC) in Barcelona as a member of the Intelligent Data Science and Artificial Intelligence Research Center (IDEAI-UPC) and Image Processing Group (GPI), and also a visiting researcher at Barcelona Supercomputing Center (BSC). He graduated in Telecommunications Engineering at ETSETB (UPC) in 2000, after completing his master thesis on image compression at the Vrije Universiteit in Brussels (VUB) with Prof. Peter Schelkens. After working one year in Sony Brussels, he started a Ph.D. on computer vision, supervised by Prof. Ferran Marqués. In parallel, he designed and taught courses at the ESEIAAT (video content delivery) and ETSETB (deep learning) schools at UPC, as well as the Master in Computer Vision of Barcelona (video analysis). He visited multiple times the Digital Video and MultiMedia laboratory directed by Prof. Shih-Fu Chang at Columbia University in New York between 2008-2014, with whom he keeps collaborating. He also works closely with the Insight Center of Data Analytics at Dublin City University and his industrial partners at Vilynx, Mediapro, and Crisalix. He serves as associate editor at IEEE Transactions in Multimedia and reviews for top tier conferences in machine learning (NeurIPS, ICML), computer vision (CVPR, ECCV, ICCV), and multimedia (ACMMM, ICMR). www.linkedin.com/in/xaviergiro

ABOUT X-EUROPE DATA SCIENCE WEBINARS This is a joint online event of Vienna Data Science Group, Frankfurt Data Science, Budapest Data Science Meetup, BCN Analytics, Budapest.AI, Barcelona Data Science and Machine Learning Meetup, Budapest Deep Learning Reading Seminar and Warsaw R Users Group.

Multi-State Churn Analysis With a Subscription Product

Wed, 01 Jul 2020 17:00:00 +0200

SPEAKER

Marcin Kosiński has a master degree in Mathematical Statistics and Data Analysis specialty. Challenges seeker and devoted R language enthusiast. In the past, keen on the field of large-scale online learning and various approaches to personalized news article recommendation. Community events host: organizer of Why R? conferences http://whyr.pl/. Interested in R packages development and survival analysis models. Currently explores and improves methods for quantitative marketing analyses and global surveys at Gradient Metrics.

https://www.linkedin.com/in/marcin-kosi%C5%84ski-81435aab/ http://r-addict.com/About.html

TOPIC

Subscriptions are no longer just for newspapers. The consumer product landscape, particularly among e-commerce firms, includes a bevy of subscription-based business models. Internet and mobile phone subscriptions are now commonplace and joining the ranks are dietary supplements, meals, clothing, cosmetics and personal grooming products. Standard metrics to diagnose a healthy consumer-brand relationship typically include customer purchase frequency and ultimately, retention of the customer demonstrated by regular purchases. If a brand notices that a customer isn’t purchasing, it may consider targeting the customer with discount offers or deploying a tailored messaging campaign in the hope that the customer will return and not “churn”. The churn diagnosis, however, becomes more complicated for subscription-based products, many of which offer multiple delivery frequencies and the ability to pause a subscription. Brands with subscription-based products need to have some reliable measure of churn propensity so they can further isolate the factors that lead to churn and preemptively identify at-risk customers. During the presentation I’ll show how to analyze churn propensity for products with multiple states, such as different subscription cadences or a paused subscription. If the time allows I’ll also present useful plots that provide deep insights during such modeling, that we have developed at Gradient Metrics - a quantitative marketing agency.

WEBINAR REGISTRATION LINK: https://bit.ly/2BEo3Rr

DSS Elevate Virtual Salon

Thu, 18 Jun 2020 18:30:00 +0200

The DSS Elevate Virtual Salon is taking place on June 18th with a series of interesting talks for female specialists, by female specialists. They offered the first 10 tickets for free for our community. Please find the details below, and contact Rania if interested in free tickets:

Date: Thursday, June 18th, 18:30 - 22:30 (CET) Location: online Website: https://www.datascience.salon/dss-elevate-virtual-conference-june-18/

DESCRIPTION

Data Science Salon Elevate Virtual is a unique female-focused virtual salon bringing together specialists to educate each other, illuminate best practices, and innovate new solutions. Female thought leaders share their wisdom and experience in their chosen field.

Featured talks:

Beyond “Fizz-Buzz”: Coding Challenges for Hiring Data Scientists | Teresa Borcuch, Sr. Data Scientist at iRobot
Deep Learning for Everyone | Gabriela de Queiroz, Sr. Machine Learning Manager at IBM
Don’t’ Fake it, Own it: Facing early Career Imposter Syndrome | Kay Sin, Technical Program Manager at LinkedIn
Hacking P-Hacking: Avoiding Spurious Analyses with Automation | Sarah Koehler, Data Scientist at Scribd
Real Time, Contextual and Personalized Recommendations | Dhivya Rajprasad, Lead Data Scientist at Levi Strauss & Co.
How to Thrive Regardless of Background and Limited Resources | Jing Sang, Analytics Manager at Dropbox
How Data Science can Empower your Business | Deborah Berebichez, Chief Data Scientist at Metis

For more information follow the link https://www.datascience.salon/dss-elevate-virtual-conference-june-18/

Modelling the spread of SARS-CoV-2 in Austria

Wed, 17 Jun 2020 17:00:00 +0200

Hear straight from the Chief Developer of the COVID-19 Modeling Team about how the spread of the virus has been simulated in Austria!

Join us on the next series of the X-Europe joint meetup webinars. Make sure that on top of RSVPing, you directly register to the webinar through the link below.

Since the worldwide outbreak of the COVID-19 pandemic, experts all around the globe are working heavily to establish reliable forecasts for the spread of the disease. Hereby they allow decision-makers to roughly plan ahead and inform the population with estimates of what might still lie ahead. Yet, the huge jungle of different models, data and results is confusing and difficult to overlook: what models are reliable, which results can be trusted and what are the secrets behind these models?

OUR SPEAKER Dr. Martin Bicher is chief developer of the COVID-19 modeling team around Dr. Niki Popper in dwh simulation-services GmbH, which currently supports decision-makers all around Austria with simulated forecasts, scenarios and policy evaluations. Moreover, he is a postdoctoral researcher at the Institute of Information Systems Engineering at TU Wien where he finished his PhD in Technical Mathematics.

https://informatics.tuwien.ac.at/people/martin-bicher

WEBINAR REGISTRATION LINK: https://bit.ly/37rPYQK

Pie & AI: Vienna - Continuous-time recurrent neural networks

Fri, 12 Jun 2020 17:00:00 +0200

Hi,

Welcome to our first online Pie & AI Event!

Pie & AI is a series of deeplearning.ai meetups independently hosted by community groups. This event is hosted by the Vienna Data Science Group.

There are a few steps to complete registration, please carefully follow the next steps:

(1) In Addition to RSVPing here, make sure you also register for the Webinar through this link: https://event.webinarjam.com/register/80/lxq5yb6z Access to the meetup stream will be provided via email upon WebinarJam registration.

(2) Please complete your registration on the deeplearning.ai signup form here: https://docs.google.com/forms/d/e/1FAIpQLSfO_6MQv0B95fJjGwgKGKQCvUtoeY4JEk7LofZE8qGqdBxyKQ/viewform .

DESCRIPTION

State-of-the-art time-series prediction with continuous-time recurrent neural networks.

Neural networks with continuous-time hidden state representations have become unprecedentedly popular within the machine learning community. This is due to their strong approximation capability in modeling time-series, their adaptive computation modality, their memory and parameter efficiency. In this talk Ramin will discuss how this family of neural networks work and why they realize attractive degrees of generalizability across different application domains.

OUR SPEAKER

Ramin Hasani, PhD, Machine Learning Scientist at TU Wien, expert in robotics, including previously being a scholar MIT CSAL, presents technical aspects of continuous-time neural networks.

https://www.linkedin.com/in/raminhasani/ https://repositum.tuwien.ac.at/obvutwhs/download/pdf/4937341

AGENDA

17:00 - Introduction and Greeting video by Andrew Ng 17:15 - Main Talk 17:45 - Q&A

Joint Webinar: Choosing the Right AI Tech Stack

Wed, 03 Jun 2020 17:00:00 +0200

ADD TO YOUR CALENDAR (.ics): https://bit.ly/2yBx6Sh

FORMAT 7 data science communities with 1000s of members, across 4 European countries are hosting this 45 minutes Joint Webinar.

SPEAKER Darina Mamonova is a Subject Matter Expert in data science and emerging technologies with years of experience working in consulting houses and industry flagship companies such as Accenture, Merck, Razorfish, Apple. She is specializing in the public sector, telecommunications, R&D in life sciences, and insurance. www.linkedin.com/in/darinamamonova

TOPIC This webinar is a demonstration of the decision-making process when there is a need to determine which technology stack fits best in specific circumstances. The focus lies on the selection process of cloud providers and open source frameworks demonstrated on a real use case.

WHAT YOU WILL LEARN What are important factors that needed to be taken into consideration when selecting tech stack Evidence a real use case from industry Learn about high-level classification of cloud providers

COMMUNITIES Vienna Data Science Group, Budapest AI, Barcelona Data Science & Machine Learning Meetup, Barcelona Analytics, Budapest Deep Learning Reading Seminar, Budapest Data Science Meetup.

Managing the Machine Learning Lifecycle - Best Practices for MLOps with MLFlow

Wed, 20 May 2020 17:00:00 +0200

Hi,

Please join us on the next series of the X-Europe joint meetup webinars!

Also, if you want to speak or join the Slack workspace created for attendees, please join, and at the end of the webinar, fill in your email so we can get in touch!

Details This is a joint online event of Vienna Data Science Group, Frankfurt Data Science, Budapest Data Science Meetup, BCN Analytics, Budapest.AI, Barcelona Data Science and Machine Learning Meetup and Budapest Deep Learning Reading Seminar

SPEAKER Zoltan C.Toth, CTO at Datapao. His team is consulting and training companies on how to build analytics infrastructure. He is also a Databricks Partner, the company behind the Apache Spark, and MLflow. Earlier he worked with RapidMiner on Spark and managed a petabyte-scale data infrastructure at Prezi.

TOPIC This talk is an introduction to MLflow, an open-source platform for managing the end-to-end machine learning(ML) lifecycle. In this webinar, you will see a hands-on presentation on how to track and serve ML lifecycle with the help of MLflow. Plus, attendees will get all notebooks and datasets that will be used during the webinar.

YOU WILL LEARN ABOUT:

MLflow technology
working with experiments
tracking and analyzing ML model metrics
using MLflow central model store to manage a model’s lifecycle

PLEASE REGISTER AT: https://bit.ly/2WzP94h

Joint Webinar: Introduction to Causal Inference For Business Applications

Tue, 05 May 2020 17:00:00 +0200

ADD TO YOUR CALENDAR: https://bit.ly/3cWlTKi

FORMAT 7 data science communities with 1000s of members, across 4 European countries are hosting this 45 minutes Joint Webinar. Our motivation here to bring more like-minded people online and have a chance to invite speakers independently of geography.

SPEAKER Aleix Ruiz de Villa Robert lives in Barcelona and has a PhD in Mathematics. He has been working in a bunch of companies as a Head of Data Science: La Vanguardia (popular Spanish newspaper), SCRM Lidl International Hub (a digital group for analysis, and implementation of omnichannel BI systems) and Onna (B2B startup that helps to collect and preserve data). He is also the founder of the Barcelona Data Science and Machine Learning Meetup, board member of the Societat Catalana de Matemàtiques, and currently works as a freelance consultant. www.linkedin.com/in/aleixrvr www.lavanguardia.com www.linkedin.com/company/scrmlidlinternationalhub www.onna.com www.meetup.com/en-AU/barcelona-data-science-machine-learning www.scm.iec.cat/en

TALK Companies need to measure the impact of their decisions. Nowadays, digital companies can evaluate many options by running A/B tests on their websites or apps. Unfortunately, A/B tests have limitations: sometimes, they are too expensive or not ethical or even impossible! Moreover, companies already have historical data, and they want to consider it too. When data has been obtained through observations, instead of A/B tests, its analysis can easily fall into many traps and get the wrong conclusions. Causal inference is both a methodology and a toolkit that guides you through the analysis to avoid them. Aleix will demonstrate on a set of simple use cases how causal inference can be applied to marketing, COVID-19, measuring worker’s effectiveness and pricing. If you are already interested check this article and this video. www.towardsdatascience.com/what-to-expect-from-a-causal-inference-business-project-an-executives-guide-i-7c5a35c03147 www.youtube.com/watch?v=rQKPrry6g0g

COMMUNITIES Vienna Data Science Group, Budapest AI, Barcelona Data Science & Machine Learning Meetup, Barcelona Analytics, Budapest Deep Learning Reading Seminar, Budapest Data Science Meetup.

ADD TO YOUR CALENDAR: https://bit.ly/3cWlTKi

Webinar: Online Kick-off, Expert Walkthrough + Q&A of COVID-19 Kaggle Challenge

Fri, 20 Mar 2020 19:00:00 +0100

Details

ONLINE KICK-OFF Challenge, data and tasks walkthrough, Q&A by Levente Szabados

This session is a place for data scientists to come together and get additional expert-insights about the recently published Kaggle competition. If you wanna make your small contribution to today’s complex situation that we all have faced or looking for a team or maybe want to learn data science or simply curious - then this is the chance.

ABOUT THE CHALLENGE AND DATA Kaggle has launched a competition in response to COVID-19 with an interesting 2GB-dataset. This dataset is a joint effort of several organisations such as Allen Institute for AI, Georgetown University, Microsoft, Google, White House and others. 29,000 scholarly articles about coronaviruses. All details here on Kaggle’s page: www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge

TASKS To wrap it up, tasks have to do with data mining (especially NLP), to get deeper insights about these viruses, their transmission, incubation, genetics, origin, vaccines, medical care and other perspectives.

WHAT IS IN THE SESSION Levente - data science expert, will give an overview of data, tasks, possible approaches, ideas and tips.

MISSION This is for you if you:

want to take part in Kaggle challenge, make your personal contribution and as a ’thank you’ even win some cash
look for a team
are a data science community organisator and want to exchange with other communities
want to have an overview of challenge to decide if you take part
want to practice your (new) skills in real use case, especially if you want to become a data scientist/engineer
want to join a number of brilliant communities around the world in one shot

START NOW If you are already on the VDSG slack server just join #covid-19-challenge channel. If not join Slack via www.bit.ly/2Sx3rRf Take a look at challenge here: www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge

ABOUT THE SPEAKER Levente Szabados is a deep tech leader, consultant and manager with special interest in artificial intelligence, cognitive sciences, data science and deep learning. And a fan of different AI challenges. www.linkedin.com/in/levente-szabados-76334728

Sexy Cloud Infrastructure for Data Scientists & Some Aspects of Blockchain

Wed, 26 Feb 2020 18:00:00 +0100

Hi!

This Knowledgefeed (vol. 32) is kindly supported by Raiffeisen Bank International AG with venue, pizzas and beer.

The first talk addresses the question: can automated infrastructure self-provisioning in the cloud make data scientists excited? The speaker will share her approach, experiences and give you some practical tips for making it happen.

The second talk reflects on the terms blockchain, distributed data ledgers, etc. and motivates current research work in this area.

Doors open at 18:00. Hope to see you there!

SPEAKERS

Shirley Werchota: “Sexy Cloud Infrastructure for Data Scientists”

In Raiffeisen Bank International, Advanced Analytics (AA) Workspace is the the core building block of our analytical infrastructure and enables involved stakeholders to foster innovation, collaboration and transparency through provided tools in AWS. Join us to find out more about the architecture, team setup and practical experiences.

Shirley Werchota is AA Workspace Product Owner, Raiffeisen Bank International Linkedin: https://www.linkedin.com/in/shirleywerchota/

Martin Pirker: “Data…. on the Blockchain?”

The term “Blockchain” is commonly associated in mainstream media with various experiments of cryptocurrencies and resulting headlines of money laundering, spontaneous millionaires and curious coin offerings. However, with computing devices used by almost everyone (e.g. smartphones) and them being always online and connected, the idea of storing data in a distributed way, on various kinds of nodes, and utilizing a consensus and cooperation model instead of a central authority, is worthy of a reflection.

Martin Pirker is a researcher at the University of Applied Sciences St. Pölten, Institute of IT Security Research. He is member of the newly started Josef-Ressel Center for Blockchain and Security Management, a 5y research project to investigate blockchain technologies and bring them closer to practical applications.

https://research.fhstp.ac.at/projekte/josef-ressel-zentrum-fuer-blockchain-technologien-sicherheitsmanagement

https://www.fhstp.ac.at/en/about-us/staff-a-z/pirker-martin

AGENDA

18:00-18:30 get together 18:30-18:40 intro speech VDSG+RBI 18:40-19:25 Shirley Werchota’s talk 19:30-20:00 Martin Pirker’s talk 20:00-21:00 socializing

Pandas for Movement Data Analysis & NLP for Automated Document Reading

Tue, 29 Oct 2019 18:00:00 +0100

Hi!

On our next meetup, you will get introduced of MovingPandas, a new locally brewed Python library, and you will hear a use-case from RBI’s Data Science team on how banks do automated document reading with the help of NLP tools. Doors open at 18:00. Hope to see you there!

SPEAKERS

Anita Graser: Python for Movement Data Analysis

The analysis of movement is an important research topic in, for example, geography, ecology, visual analytics, GIScience as well as in application domains such as urban, maritime, and aviation research. Movement data analysis requires tools for the manipulation and visualization of movement or trajectory data. This talk presents the new Python library MovingPandas.org

Anita is a Scientist at AIT Austrian Institute of Technology (center for mobility systems) Check out Anita’s detailed bio here: https://anitagraser.com/about/ Linkedin: https://at.linkedin.com/in/anita-graser-95102530

Daniel Bekesi: NLP in a bank - Automated Document Reading

Despite the fast pace of digitalization happening in the modern world, core processes in the banking area are still based on printed documents to a large extent. Document processing, therefore, consumes a significant amount of manpower and processing time, as well as an increasing operating risk level of the bank by being prone to human errors. In this session, you will learn how automated document processing can create a great opportunity to modernize and simplify the way modern banks work, reduce associated operation risk level, as well as reduce time and costs spent within a given process area.

Daniel is a Senior Data Scientist at Raiffeisen Bank International. He has trained and tested in various domains of data analytics & science. In that vein, he is well equipped to consult and be a mentor to business professionals seeking high reward from data. LinkedIn: https://www.linkedin.com/in/dániel-békési-phd-787ab897

AGENDA

18:00-18:30 get together 18:30-18:45 intro speech VDSG+RBI 18:45-19:15 Anita Graser: Python for Movement Data Analysis 19:15-19:45 Daniel Bekesi: NLP in a bank - Automated Document Reading 20:00-21:00 socializing 21:00-NA more socializing in a pub

Hosting and Catering are provided by Raiffeisen Bank International.

Big data-Industrial IoT Meet-Up Linz

Tue, 18 Jun 2019 17:00:00 +0200

Dear Community,

Everyone is talking about Big-Data and its increasing importance. You are interested in this topic and want to learn more about integrating such solutions into your business? You want to listen to experts and think that afternoon coffee is the best time to discuss?

Vienna Data Science Group is pleased to invite you to the first Meet-Up presented together with the Uni software plus GmbHin Linz.

Agenda:

Talks: “The Evolution of Machine Data Pipelines at ENGEL” by Christoph Schönegger (ENGEL AUSTRIA GmbH), Stefan Janecek (uni software plus GmbH)

“Building 1st Data Science Community in Slovakia” by Radovan Kavicky (Vienna Data Science Group)

Afterwards: Discussion with drinks & snacks

Registration: verena.dirnberger@unisoftwareplus.com (open until 14.06.2018)

The Meet-Up will be in English language.

Further Information “The Evolution of Machine Data Pipelines at ENGEL”:

According to Forbes [1], 90 percent of the data humanity owns today has been generated in the past two years. One of the main drivers behind this breath-taking world-wide data growth is industrial IoT (IIoT), the extension of the “internet of things” (IoT) to the industrial sector. In their talk, Christoph Schönegger (Engel Austria) and Stefan Janecek (uni software plus) will share their story of developing the “Engel Edge Device”, a secure solution for collecting, cleaning, aggregating and processing IIoT data “on the edge”, i.e., close to the source of the data.

The Edge Device System allows to centrally manage containerized applications, and deploy them to small hardware appliances running “on the edge”. These applications range from simple ETL (extract transform load) processes to algorithms that make decisions based on data and feed those decisions back into production machines.

Since security is paramount in industrial applications, the Edge Devices are protected by strong cryptography, using the on-board TPM 2.0 chip as a trust anchor. In addition to the security considerations on the Edge Device itself, the talk will also describe the secure data logistics solution to transfer data from the Edge Devices to a central Hadoop data lake.

https://www.forbes.com/sites/bernardmarr/2018/05/21/how-much-data-do-we-create-every-day-the-mind-blowing-stats-everyone-should-read/#18f7e27660ba

We are looking forward to welcome you to an informative evening!

MyData Austria Meetup #3

Mon, 17 Jun 2019 18:00:00 +0200

In this meetup we will shed light on the topic of data as a property: is it possible to own data, how can data or usage rights for that data be sold and what are the implications?

This is a co-hosted event with the MyData Austria Meetup group.

Agenda:

Clara Landler: Welcome & Introduction
Christoph Fabianek: Semantic Container for Data Mobility, Closing presentation of FFG funded project
Soheil Human, Rita Gsenger, Kemal Ozan Aybar: short talks on “End-user Empowerment: An Interdisciplinary Perspective” and “Digital Inequality: Call for Socio-technical Privacy Management Approaches”.
Michael Shea: Fishbowl discussion about Data as a Human Right

Looking forward to meeting you !

Data Science Alliance Kickoff - Deep Learning & ML

Wed, 15 May 2019 17:30:00 +0200

STREAM:

Please join the First stream at the start of the meetup:

Belgrade: https://www.youtube.com/watch?v=fx9BLHsWwns
Vienna: https://youtu.be/KSAzCRQE_-w
Zagreb: https://youtu.be/m-44Pc-ny6I

Questions? Post it here: http://sli.do , channel: #dsmeetup

Welcome to our first ever international Meetup, a result of VDSGs ongoing effort of internationalization. Meet the Data Science Alliance, where speakers from Belgrade, Zagreb, and Vienna will share their knowledge with the international community.

Talks will be held in 3 cities in parallel on May 15th. The concept of the event is to have one talk in-live and two talks over the online streams at every location.

The theme of the meetup will be the application of Machine Learning & Deep Learning on real-life examples. You will get a chance to listen to 3 distinguished speakers from Belgrade, Vienna, and Zagreb.

Agenda :

Opening talk - 17:30-17:45

First Talk-17:45-18:10 Speaker -Marko Knezivic Topic: Recommender systems for personalized content in video games

Marko Knežević holds PhD title at the Department of Computing and Control Engineering at the Faculty of Technical Sciences, University of Novi Sad.

In this talk, we’ll give light overview over recommendation techniques and how we allowed model to capture some general behavior patterns regarding buying and how we tackled common obstacles such as data dimensionality and class imbalance.

Linkedin : https://www.linkedin.com/in/marko-kne%C5%BEevi%C4%87/

Second Talk- 18:15- 18:40 Speaker-Allan Hanbury Topic: Exploiting Data in Medicine

Allan Hanbury is Professor for Data Intelligence at the TU Wien and faculty member of the Complexity Science Hub Vienna.

He was a scientific coordinator of the EU-funded Khresmoi Integrated Project on medical and health information search and analysis and is a co-founder of contextflow, the spin-off company commercializing the radiology image search technology developed in the Khresmoi project.

This talk will present examples of approaches to extracting value from medical data, in particular from research articles and radiology images, as well as paths toward more effective exploitation of data in medicine.

Linkedin: https://www.linkedin.com/in/allan-hanbury-9483a26/

Third Talk- 18:50- 19:15 Speaker-Tomislav Krizan Topic: AI in FinTech service: Predicting Credit Debt Bankruptcy

Tomislav plays with data for a long time on every possible and impossible way. First Big Data project was on account-tickets in a book keeping service (low tech approach). Where the most see just numbers and letters, he finds a purpose and information. For a while now he is playing on a field of DM/ML models for business purposes, with the last couple of years having a spotlight on text analytics and NLP (unstructured datasets)

This talk is going to be about how we develop models which can tell us with high accuracy rate if the debt user will go into the personal bankruptcy. Our algorithms are self-learned, so with every new iteration result are showing greater accuracy.

In the first part of the talk we shall speak about how we used Gradient Boosting Machines (GBM) & Random Forest on the past and current data of credit debts of the users (such as how much are the user in the minus on bank and credit cards, how long they were late with payments and cetera) to predict personal bankruptcy. We have followed short term loans (up to 60 months), which were granted in the US. Project was also done for several Europeans countries, but with a bit lesser accuracy - caused by harder access to the data on customer placements and the level of indebtedness.

Linkedin: https://www.linkedin.com/in/tomislavkrizan/

Looking forward to meeting you !

VDSG Data Science Café : New volume of the DS Café

Fri, 26 Apr 2019 17:30:00 +0200

Dear community – the wait is finally over, the next DS Cafe is here!

This volume of the DS Cafe is a combined effort with the data4good Hackathon organizing team, and will be hosted by A1. Everyone – whether hackathon participants or not (yet) - is invited to come, meet each other, get to know more about the data4good projects, and relax. You can participate regardless of your experience in Data Science - all you need is some curiosity, your computer, and the willingness to talk to other Data Science enthusiasts around you. In addition, if you have a project you would like to share with the DS community, please get in touch with us – we will give you 3 minutes at the beginning of the Cafe to introduce yourself and your idea. Looking forward to seeing you all there!

FINAL DETAILS If you would like to be included in the SLACK channel, please let us know your email address in the appropriate field when RSVPing. What we provide:

A nice location, refreshments and snacks, WIFI, and a friendly environment so you can connect with your colleagues. What to bring:
A laptop, headsets, writing utensils, and curiosity

Knowledgefeed vol. 28: (Big) Data (Science) for Security

Fri, 29 Mar 2019 18:30:00 +0100

Dear Community,

Get ready for our 28th Knowledgefeed featuring security research question that motivated an ambitious data collection and analysis approach.

While a common opinion is that a collection of “big data” only leads to security and privacy problems - and it often does - however the analysis of large amounts of IT systems behavioral data also enables new experimental approaches to improve IT security and protect us from the cesspool of malware that the internet is.

The TARGET research project at St.Pölten UAS started with an initial IT security research question that motivated an ambitious data collection and analysis approach, and that then spawned subsequent challenges in data collection, encoding, storage, processing, experimental algorithm implementation, up to production deployment.

This talk reflects on the challenges encountered and experiences made.

Talk (duration 45- 60 mins)

By Martin Pirker who is a Senior Researcher at the Institute of IT Security Research, St. Pölten University of Applied Sciences. His current work focus is the Josef Ressel Center for Unified Threat Intelligence on Targeted Attacks (TARGET), and all kinds of weird problems that arise when IT (security) meets privacy and big data.

Website: https://isf.fhstp.ac.at/en https://research.fhstp.ac.at/en/projects/josef-ressel-center-for-unified-threat-intelligence-on-targeted-attacks-target https://isf.fhstp.ac.at/en/forschende/martin-pirker

VDSG Data Science Café : New Volume of the DS Café

Fri, 15 Feb 2019 17:00:00 +0100

Dear community – new year, new volume of the DS Cafe!

We hope you’ve had a “guter Rutsch” into 2019, and are ready for more learning and working together on Data Science! For February’s edition, we will visit Ready2Order’s offices again. Their vision is to digitize all small entrepreneurs and improve their business processes, by creating a marketplace in which to offer entrepreneurs the most popular apps for a 360-degree service, including warehouse management, online shop, accounting, etc. Their team will be there to talk to the community.

You will have the chance to talk about some of the work-in-progress projects, or even better, start your own idea and make it happen through the guidance and support of your Data Science network. Everyone is invited to come and share their ideas, or simply explore and decide if there is a project you want to be involved in. You can participate regardless of your experience in Data Science - all you need is some curiosity, your computer, and the willingness to talk to other Data Science enthusiasts around you. If you have a project you would like to share with the DS community, please get in touch with us – we will give you 3 minutes at the beginning of the Cafe to introduce yourself and your idea.

FINAL DETAILS Please let us know your email address in the mandatory field when RSVPing, so we can include you in the SLACK Channel.

What we provide:

A nice location, refreshments and snacks, WIFI, and a friendly environment so you can connect with your colleagues.What to bring:
A laptop, headsets, writing utensils

Knowledgefeed vol. 26: AI for Smart Cities & Privacy-Preserving Big Data Sharing

Mon, 10 Dec 2018 18:30:00 +0100

Dear Community,

get ready for our 26th Knowledgefeed featuring 2 talks of how data science & AI can advance innovative solutions to our city living and what can be done to protect personal information from illegitimate use.

Talk 1 (duration 45 - 60 mins): Practical implementation of AI solutions for smart cities

by SK Reddy, Chief Product Officer AI for Hexagon, Silicon Valley.

AI is making dramatic inroads into city living to solve problems that were earlier thought to be impossible. How to predict the sentiment of people in the mall? How to prevent a crime using regular surveillance cameras? How to predict traffic? How to use satellite images to plan for city expansion?

How to predict the quality of my city services? How to auto-analyze social media feed for trigger-based city-safety actions? These are some of the problems that could be solved using Artificial Intelligence.

Cities and organizations need to understand the importance of quality of data and the right models to pick.

The talk covers the current state of the art in statistical machine learning, explores the paths to approach strategic AI in Cities, and discusses the ‘what’ and ‘how’ of the deep learning techniques in Smart Cities.

SK is the Chief Product Officer AI in Hexagon (www.hexagon.com). He is also an AI and ML expert and a successful twice startup entrepreneur. He is a frequent speaker in conferences and an AI blogger.

LinkedIn: www.linkedin.com/in/skreddy99/ Blogs: www.linkedin.com/in/skreddy/detail/recent-activity/posts/ YouTube: https://www.youtube.com/user/skreddy99/videos

Talk 2 (duration 45 min): Privacy-Preserving Big Data Sharing

by Michael Platzer, CEO and Co-Founder of Mostly AI, Vienna.

The digitalization of our world results in an ever-increasing amount of personal data being gathered. Processing and sharing these big data assets drives scientific progress, fosters innovation and enables smarter products and services. Yet the very same data, more often than not, contain sensitive personal information that is to be protected from illegitimate use. These conflicting targets, data-driven innovation vs. data protection, pose one of the biggest challenges of today’s digitalized world. AI-generated synthetic data offers a fundamentally new solution to this long-standing issue.

Agenda:

Privacy vs. Innovation
Under-Estimated Risk of Re-Identification
AI-generated Synthetic Data
Differential Privacy
Customer Story from Finance
QA & Discussions

Michael Platzer is CEO and Co-Founder of Mostly AI (https://mostly.ai), a Vienna-based startup, that develops fundamentally new approaches towards safe & secure big data anonymization. He earned a master degree in Technical Mathematics at TU Wien, a doctoral degree in Marketing Science at WU Wien, and was recognized for his work on customer behavior prediction with the Global Research Award by the American Marketing Association.

LinkedIn: www.linkedin.com/in/mplatzer/ www: https://mostly.ai

As always: grab the opportunity to ask our lecturers questions, discuss your ideas and of course enjoy the company of some interesting folks!

Please do not hesitate to present your own projects, ideas or thoughts. We are more than gladly sharing the stage with you! Please refer to our blog-post / Discussion entry for further details:

https://viennadatasciencegroup.at/2016/09/06/power-to-the-people/

Looking forward to meeting you at the Knowledgefeed!

VDSG Data Science Café Vol. X - We visit Ready2Order.

Fri, 09 Nov 2018 16:30:00 +0100

Dear community, we have reached our 10th volume! Amazing!

Thanks for your support, your energy and your interest in learning and working together on Data Science. It has been a pleasure to see the development of the community, and how many of the regular attendees have created their own path in the profession, which was exactly the inspiration and the motto of this event. And if you haven’t yet found your own path, there is still plenty of time and support to do it. Come and get inspired!

For November’s volume, we will visit Ready2Order’s offices. Their vision is to digitize all small entrepreneurs and improve their business processes. They want to create it through a marketplace in which the most popular apps are available to offer the entrepreneur a 360-degree service, including warehouse management, online shop, accounting, etc. This is how customer analytics leads to better all-around decision making. Their team will be there to talk to the community.

We will also have a “Food and DS Corner”, since several members working with data in the food industry will be there to share experiences and ideas.

In addition, you will have the chance to talk about some of the work-in-progress projects, or even better, start your own idea and make it happen through the guidance and support of your Data Science network.

FINAL DETAILS

Please let us know your email address in the mandatory field when RSVPing, so we can include you in the SLACK Channel.

What we provide:

A nice location, refreshments and snacks, WIFI, and a friendly environment so you can connect with your colleagues.

What to bring:

A laptop, headsets, writing utensils

Joint Event: Future of Data + VDSG: Real Time Stream Processing w/ Apache Flink

Wed, 07 Nov 2018 18:00:00 +0100

Hi fellow Data Enthusiasts,

After the summer break, the Hadoop User Group is back as the Future of Data Meetup. Vienna Data Science Group enters the season with this joint event before proceeding with its own Knowledgefeed series.

The purpose of this Meetup is (and always was) to bring together the community in the open source, Apache projects and data.

This time we will have an exciting talk of Andrey Zagrebin who is working as an engineer on the Apache Flink project. He will give us an overview on Apache Flink, news and updates and will be available the whole evening for questions.

As always there’ll be a networking part with pizza and beer. This time the pizza and beer is sponsored by Data Artisans.

Thanks to the Unbelievable Machine Company, who will sponsor the venue: “Brains and Bodies CoWorking”.

Agenda: 18:00 Doors open 18:30 Introduction to Apache Flink, Andrey Zagrebin. 19:15 Apache Flink in action – stream processing of mobile networks, Milos Molnar and Peter Belko 19:45 Pizza + Beer + Networking sponsored by Data Artisans

Andrey Zagrebin works as a software developer at Data Artisans working on the Apache Flink core.

Milos Molnar is Big Data architect and COE of trivia data with more than 20 years in IT. During the last 5 years he focused on distributed systems and data processing within distributed systems like Apache Hadoop or Apache Kafka. Together with his team, Milos builds data applications for batch focused cases (data-at-rest) as well as streaming applications for processing data-in-motion.

Peter Belko is more than 10 years working in software development. He is fond of functional programming (Scala) and highly experienced with stream data processing. He is leading the development department at trivia data.

This is a joint Meetup of the Vienna Data Science Group and Future of Data / Vienna

VDSG Data Science Café Vol. IX - We visit TourRadar.

Fri, 12 Oct 2018 17:00:00 +0200

Autumn is officially here, the temperature is colder, and the set-up is perfect to enjoy our DS Cafe’s first anniversary! If you have visited us before, you already know how it works: coffee, like-minded people, and a relaxed and friendly environment to talk (maybe also program) about our favorite topic: Data Science.

For the next 2 editions, we will be visiting young companies using data to improve their operations. October’s edition will be at TourRadar, an online marketplace for travelers to compare and book multi-day tours. Their data science and business intelligence team will be available to chat and share what they are doing in their daily operations.

FINAL DETAILS

Please let us know your email address in the mandatory field when RSVPing, so we can include you in the SLACK Channel.

What we provide:

A nice location, refreshments and snacks, WIFI, and a friendly environment so you can connect with your colleagues.

What to bring:

A laptop, headsets, writing utensils, collaborative mindset, willingness to apply Data Science and your ideas

VDSG Data Science Café Vol. VIII

Fri, 14 Sep 2018 16:00:00 +0200

Dear community,

We hope you enjoyed the summer, had a chance to recharge your batteries, and are ready for the next edition of the Data Science Cafe! This time, we can share coffee and Data Science on the premises of WeAreDevelopers!, home of the Keep Current Project.

We started the DS Cafe format exactly one year ago, to provide a mechanism for participants to move forward from the various interesting presentations delivered by Data Science MeetUps all around Vienna, to active application of their own ideas. Many fascinating projects were born this first year, such as Keep-Current, Learning Data Science with Beer, Data Science Jobs, Micro-skills development platform, and Data Science and Cooking, among others.

The format of the DS Cafe has evolved under the guidance of the community, and we hope you will continue to give us your input this year. We want to thank you again for all your support during the first year of the Cafe - and let’s keep improving this open space for our Data Science community!

FINAL DETAILS Please let us know your email address in the mandatory field when RSVPing, so we can include you in the SLACK Channel. What we provide: A nice location, refreshments and snacks, WIFI, and a friendly environment so you can connect with your colleagues. What to bring: A laptop, headsets, writing utensils, collaborative mindset, willingness to apply Data Science and your ideas

VDSG Data Science Café Vol. VII and Tech Pills: Open Knowledge Maps

Fri, 29 Jun 2018 16:00:00 +0200

Dear community,

Summer is coming, FIFA World Cup already started, but we still love and enjoy applying Data Science together. So we want to use the pause day between the group stage and Round 16 to meet for the last time before the summer break. Maybe we could try to predict the WW Cup winner :)

This time, we are going to visit an innovative company: Casinos Austria & Österreichischen Lotterien on their Innovation Hub at Rennweg 44. They share the same Cafe’s inspiration: Connect, Cowork, Cocreate.

For this Cafe edition we have some special guests from Open Knowledge Maps. (https://openknowledgemaps.org/) If you want, you could participate in the Scavenger hunt “competition” at the beginning of the Cafe to familiarize yourself with this innovative platform to search in scientific knowledge. This will surely very useful when you want to research new topics on Data Science.

After the Scavenger hunt, we will have time to discuss the different projects and ideas including the Data Science and UX behind Open Knowledge Maps with Chris, Peter and Maxi.

This time Michael from Casinos Austria will be available to talk about their innovative projects, Zanni is bringing the innovative idea: “Micro-skills development platform”. Mari will introduce a new project connecting Data Science and Cooking. Bernhard is going deeper in the analysis of the Austrian Data Science vacancies (http://www.datainsight.at/dsjobs/) and there is a team starting a discussion around Probabilistic Programming approaches to AI. Nice bunch of options!

Everyone is welcome to come and share their own ideas with the community or simply explore for a while and decide if there is a project you want to be involved in. You can participate regardless of your experience in Data Science, just bring some enthusiasm, your computer and the willingness to talk to like-minded people around you.

PLEASE BE AWARE: If you are planning to attend confirm your attendance in MeetUp until Wednesday 27th June. If you are not on the list, you cannot enter the facilities.

FINAL DETAILS Please let us know your email address in the mandatory field when RSVPing so we can include you in the SLACK Channel.

• What we provide: A nice location, refreshments and snacks, WIFI, friendly environment so you can connect with your colleagues.

• What to bring: A laptop, headsets, writing utensils, collaborative mindset, willingness to apply Data Science and your ideas :)

Knowledgefeed vol. 24: using NLP to dissect stereotyping and authoritarianism

Wed, 30 May 2018 18:00:00 +0200

Dear Community,

get ready for our 24th Knowledgefeed featuring 2 talks about the application of natural language processing on topics concerning society and politics.

Talk 1 (duration 20 min): Using Natural Language Processing to Automate the Bechdel Test

by Krista Westphal, data analyst at Unicredit Bank Austria AG.

Krista recently finished her master’s thesis at the Vienna University of Technology. In her thesis she developed methods for analyzing whether a screenplay or novel passes the Bechdel test. In this talk she will present her thesis, describing the various natural language processing techniques she used.

Talk 2 (duration 30 min): Researching China’s (Online) Politics: A Data Science Toolbox

by Christian Göbel, Professor of Modern China Studies at the University of Vienna.

The Chinese Internet offers a treasure trove of diverse data that offers insights into how China’s One-Party system operates. The research project “the Microfoundations of Authoritarianism” uses online petitions, tweets about social unrest, policy-related documents and other kinds of data to study citizen-government interactions and their political impact. In this talk, we introduce some of our favourite tools for web scraping, natural language processing, supervised and unsupervised classification, GIS visualisation, network analysis, and inferential statistics. Finally, we outline some of the challenges we are currently facing.

Christian Göbel (http://christiangoebel.net) is Professor of Modern China Studies at the University of Vienna and Principal Investigator of the research project “the Microfoundations of Authoritarianism: E-Participation, Social Unrest and Public Policy in China”, which is funded by the European Research Council. A political scientist and sinologist by training, his research is concerned with the adaptability of the Chinese Party-State to social, economic and political challenges. He is especially interested in the effects of digital technology on governance in China and other countries, which he currently analyses together with an amazing team of post-doctoral, postgraduate and graduate researchers.

Twitter: @Chri5tianGoebel ResearchGate: https://www.researchgate.net/profile/Christian_Goebel2

As always: grab the opportunity to ask our lecturers questions, discuss your ideas and of course enjoy the company of some interesting folks!

Please do not hesitate to present your own projects, ideas or thoughts. We are more than gladly sharing the stage with you! Please refer to our blog-post / Discussion entry for further details:

https://viennadatasciencegroup.at/2016/09/06/power-to-the-people/

Looking forward to meeting you at the Knowledgefeed!

Joint Event: Semantic Web - VDSG: Data Science solutions using Semantics

Wed, 23 May 2018 17:30:00 +0200

Semantic Web and Data Science are complementary disciplines working on solving problems based on large amounts of data. While Semantic Web technologies are based on Symbolic AI, Data Science relies rather on statistics and applies statistical approaches to AI.

Both disciplines approach same challenges from different perspectives while related to extracting meaningful information from several sources and large amounts of data. How to put those approaches together in a way that decision-makers could use it?

In this Meetup we will present recent developments at the intersection of machine learning and semantic knowledge modelling. We will discuss practical use case scenarios to illustrate potential results that could be achieved through the collaboration between both fields.

AGENDA

17:30 Welcome and Intoduction (VSWM, VDSG, DMA)

17:45 Semantic enhanced Artificial Intelligence powered by Andreas Blumauer (Semantic Web Company)

18:00 Break

18:15 The Knowledge Graph for End-to-End Learning on Heterogeneous Knowledge powered by Xander Wilcke (Vrije Universiteit Amsterdam)

18:30 Open Knowledge Maps: how to increase visibility of research findings using NLP, Semantics, Open Data and Community powered by Peter Kraker (Open Knowledge Maps)

18:45 Large Scale Medical Image Retrieval at contextflow powered by Rene Donner (Contextflow)

19:00 Lightning Talks: *) Christian Blaschke (Semantic Web Company) The Semantic Layer for contextualising industrial process data. *) Sabrina Kirrane (WU Executive Academy) From Data Analyst to Data Scientist *) Peter Tschuchnig (INiTS) The DMA Incubator Programme *) Liad Magen Keep Current Project

ABOUT OUR SPEAKERS:

Andreas Blumauer: is CEO and co-founder of Semantic Web Company. He is also the ‘product architect’ of PoolParty Semantic Suite. He holds a degree in computer science and is a distinguished Semantic Web expert. Andreas has a senior advisory role in customer projects.
Xander Wilcke: PhD Candidate at VU Amsterdam on Machine Learning on Knowledge Graphs.
Dr. Peter Kraker is founder and chairman of Open Knowledge Maps. Peter is a leading expert on scholarly communication, open science and bibliometrics and has published more than 35 papers on these topics. For his work, Peter received several awards and fellowships, he is has a vast experience in research and has worked in a number of EU-funded projects. He is core team member of the Open Access Network Austria.
Rene Donner: With a background in electrical engineering René has worked for 8 years at the Medical University Vienna as a researcher in computer vision, focusing on anatomical structure localization and content based image retrieval. He is now CTO at contextflow, applying deep learning to large scale medical image data and developing smart tools to aid radiologists in their challenging tasks.

This is a joint Meetup of the Vienna Data Science Group, the Data Market Austria and the Vienna Semantic Web Meetup

VDSG Data Science Café Vol. VI @ ImpactHub

Fri, 18 May 2018 16:00:00 +0200

Dear community, dear newcomers and everyone who participated in any capacity in the DS Café until now: We are delighted to announce the 6th Data Science Café! As announced, we are going to visit a new location, namely the ImpactHub, which is the epicenter of social enterpreneurship in Vienna!

Since we would visit them, several of their members may join us in this volume to discuss ideas regarding how to create more impact with an appropriate usage of their data. The perfect preamble for the upcoming initiatives Data4Good.

At this point we usually recap the last event, however, after conducting 5 consecutive Café’s, we’d like to take a step back and ask you where the DS Café should be heading.

After all, we always preach that “we provide the framework - you bring it to life” and we actually mean it! Whether it’s a short- or long-term goal, a vision or just small tweak: Let us know what you’d like to see in the upcoming DS Cafés. Ideally you’ll just leave a comment so that anyone can pitch in!

So, what else is happening? You might know the keep-current project but there are more :) The beer-aficionados gathered and evaluated data, Mykola showed a self-made tool to calculate the fair price of a car and Bernhard started analyzing the Austrian Data Science vacancies. This team already have a beta version at: http://www.datainsight.at/dsjobs/ and in this volume they want to describe the architecture, the lda model and show how people can access the database.

In short: Things are getting done and if you want to join any of them: Awesome!

Everyone is welcome to come and share your own ideas with the community or simply explore for a while until you decide in which kind of project you want to be involved (you don’t have to be, though. Just looking is fine :).

WHAT TO EXPECT As always you can expect a relaxed environment with a significant number of peers to discuss Data Science and move to the implementation part. To all of you who aren’t familiar with the DSCafe yet, have a look here: DSC Presentation (http://bit.ly/2ExZEL2). You can participate regardless of your experience in Data Science, just bring some enthusiasm, your computer and the willingness to talk to like-minded people around you.

FINAL DETAILS Please let us know your email address in the mandatory field when RSVPing to facilitate the logistics.

• Please don’t waste spots! Un-RSVP once you know you can’t make it - spots are limited and there is a list of peers who’d love to claim your spot instead - thank you :)

• What we provide: A nice location, refreshments and snacks, Wifi, resources and coaching to support the 3 modes!

• What to bring: A laptop, headsets, writing utensils, collaborative mindset, willingness to apply Data Science and your ideas :)

Data Science Salon Vol. I - GDPR and its impact on Data Science.

Mon, 23 Apr 2018 18:00:00 +0200

Dear community,

We want to introduce a new event format to you: the Data Science Salon.

Data Science and its applications have the potential to tremendously impact our society in ways we have rarely seen in the past. Besides a lot of other things, it will lead to an automation of many aspects of our lives, aiming to improve them. Nonetheless, because of the enormity of these changes, these should be accompanied by an open and down to earth conversation about the impact on our society and the ethical aspects behind the algorithms used.

Data Science Salon is the place to have this conversation. We start with a hot topic: GDPR and its impact on our daily lives.

Next month, on May 25th the General Data Protection Regulation (GDPR) will be effective and every company operating in the EU market must be compliant with it.

Will GDPR change the way how organizations practice data science? And, if so, will these changes have a positive or negative impact on our profession in the long term?

Agenda:

10 Min: Why we care about GDPR

40 Min: Discussion around a use case from a legal and technical perspective - Moderated by: Sophie Martinetz. Powered by Teresa Bogensberger and Bernhard Ortner

15 Min: Introduction to Ethics on Data Science Algorithms. - Powered by: Christopher Kittel

About our speakers:

Attorney Dr. Teresa Bogensberger: Expert in employment law and IP law. The former partner at Eversheds Sutherland Austria and Knoetzl has many years of experience in advising Austrian and international clients in the area of employment law as well as in all matters of IP law.

Sophie Martinetz: Experienced legal entrepreneur and international corporate professional. In 2012 she founded her own company Seinfeld Professionals an innovative new law firm and Future-Law - the leading innovation and digitization platform for the legal industry in Austria.

Bernhard Ortner: Big Data enthusiast with a strong background in engineering in different areas such as finance, energy and governance. He was responsible for maintaining operational data lakes and developing proof-of-concepts for big data technologies.

Christopher Kittel: Data Scientist at Open Knowledge Maps. Christopher specializes in applying machine learning and deep learning to problems of social goods. His further research interests concern the ethics and economics of AI.

DISCLAIMER: The content shared in this event would offer a variety of perspectives on this topic, but it does in no way represent a substitution of proper guidance for the compliance of a company with this law.

VDSG Data Science Café Vol. V - We visit WeXelerate!

Fri, 20 Apr 2018 17:00:00 +0200

And we are ready for Volume 5! We want to thanks A1 and specially Stephan Wöber for all the support provided through the venue sponsorship.

In the next volumes we will host at various spots and communities where Data Science can provide a lot of value. Our first stop will be at WeXelerate in the Space 15 on the first floor.

Volume 4 was a lot of fun and a lot of interest and support for the keep-current project and also an elusive data-gathering session for the “Learning Data Science with Beer” project! It’s time to continue supporting the different initiatives that the community is working on.

Learn Data Science with Beer: after collecting data (by drinking beer) at the last VDSG Cafe it’s time to put the data to work by pitting Gösser and Ottakringer against each other. For those interested to dive deeper into the data this team will offer a hands on session. (For all the unitiated: this is no euphemism for drinking - we are actually gathering and evaluating data here :))

The keep-current project (http://keep-current.netlify.com/) has evolved even further and they are looking forward to hearing your feedback and ideas. Also Bernhard and Marco want to introduce their idea: DSJobs aims to analyze vacancies related to data science.

If you want to join any of them: Great! Also, you are welcome to come and share your own ideas with the community or simply explore for a while until you decide in which kind of project you want to be involved.

FINAL DETAILS Please let us know your email address in the mandatory field when RSVPing to facilitate the logistics.

• Please don’t waste spots! Un-RSVP once you know you can’t make it - spots are limited and there is a list of peers who’d love to claim your spot instead - thank you :)

• What we provide: A nice location, refreshments and snacks, Wifi, resources and coaching to support the 3 modes!

• What to bring: A laptop, headsets, writing utensils, collaborative mindset, willingness to apply Data Science and your ideas :)

Joint Event: Hadoop User Group Vienna - VDSG: Data Integration Using Apache NiFi

Tue, 27 Mar 2018 18:30:00 +0200

Dear community, We continue our collaboration with other groups with this joint event between VDSG and Hadoop User Group Vienna.

One of the most common problems of any modern IT and BI landscape, as well as productive data science projects, is to process and distribute data from different sources efficiently and easily without wasting too much time on the topic. Apache NiFi is an Open Source tool that fills those needs and extends its capabilities.

The meetup features Pierre Villard a member of the Apache NiFi project management committee (PMC) giving a talk, a demo and an outlook of Apache NiFi.

Agenda:

Talk by Pierre (Hortonworks)
Discussion + Q&A
Networking + Pizza + Beer

Speaker Infos:

Pierre Villard is a Senior Consultant at Hortonworks based in Toulouse, Apache NiFi PMC member and author of a blog (https://pierrevillard.com/). @pvillard31 https://github.com/pvillard31/

Links:

We invite you to take the opportunity to talk with different colleagues about potential ideas and projects for 2018. If you get inspired and find the right partner for a new project (maybe even using Apache NiFi), you could bring it to the next volume of Data Science Cafe.

Looking forward to meeting you there.

• Was sollst du mitbringen

• Wichtig zu wissen

VDSG Data Science Café Vol. IV + Practical part: "Learn data science with Beer"

Fri, 23 Mar 2018 16:00:00 +0100

Dear VDSG-followers,

We are ready for the forth volume of the Data Science Café! Join us on March 23th at A1, participate in the Cafe, and at 19:00 be one of the volunteers for the practical part “learn data science with beer”.

To all of you who aren’t familiar with the DSCafe yet, have a look here: DSC Presentation (http://bit.ly/2ExZEL2). You can participate regardless of your experience in Data Science, just bring some enthusiasm and the willingness to talk to like-minded people around you.

We enjoyed a lot the third volume and all the activity afterwards on Slack. It is extremely rewarding to see how the community organizes itself around different common interests. People are gathering in groups and learning together, applying Data Science on real-life ideas and - most importantly - really seem to enjoy it :)! These are some of the topics currently covered: Big Data GIS, NLP through the Keep Current Project, Experimenting with Google-Cloud AutoML and Network analysis on Wiener Linien among other topics.

WHAT TO EXPECT As always you can expect a friendly environment with a significant number of peers to discuss Data Science and move to the implementation part. Additionally, we have big expectations in this volume, since the Keep Current team wants to share a lot with the community and the Learn Data Science with Beer is ready for the practical part! Here are the details:

KeepCurrent - stay updated on your favorite topics by receiving personalized newsletters with links and short excerpts of related articles - all happening automatically.

The team will be available to talk about the following topics:

Ulli will explain about unsupervised discretization techniques of continuous variables Tzvetan will demonstrate how to user Docker Vladimir will talk about NoSQL and how the system is architected

LEARN DATA SCIENCE WITH BEER! A special invitation by the Learn Data Science with Beer-team! At the last Cafe, the theoretical background for the project was laid, and now it is time for the “practical” part. We need YOU to generate data by drinking beer. There will be two challenges - one unblinded and one double blinded test. You just need to … drink beer!

FINAL DETAILS As usual, if you are planning to attend, let us know by sending an email to cafe@vdsg.at - or just let us know your email address in the mandatory field while RSVPing.

• What we provide: As usual, we are going to provide a nice location, refreshments and snacks, Wifi, resources and coaching to support the 3 modes and a shared R-infrastructure which you are free to use!

• What to bring: A laptop, headsets, writing utensils, collaborative mindset, willingness to apply Data Science and potentially your ideas.

VDSG Data Science Café Vol. III

Fri, 09 Feb 2018 16:00:00 +0100

Dear VDSG-followers,

The third volume of the Data Science Café is around the corner! Join us on February 9th at A1 where the DSCafe will be hosted again.

To all of you who aren’t familiar with the DSCafe yet, have a look here: DSC Presentation (http://bit.ly/2ExZEL2) You can participate regardless of your experience in Data Science, just bring some enthusiasm and the willingness to talk to like-minded people around you.

We are happy to see a strong development towards becoming an actual community of people who gather (also outside of the DSCafe’s scope) and collectively work towards developing their skills. We believe that this is a wonderful development and want to take a second to thank all of you who are embracing this idea and thus contribute to the success of the DSCafe.

We want to point out that the focus of the DSCafe goes from hands-on-coding towards community development. We are most certainly happy to see you coding with others but as it turns out what DSCafe-attendees are primarily looking for is an environment which facilitates communication, exchange of ideas, getting to know other like-minded people, finding out how to pursue a career in Data Science, etc. We want you to use this space for enriching your network with Data Science practitioners. In this regard we’d also like to announce the following event organized by the Wikimedia Foundation, where you will dive into SPARQL and learn how to utilize the language to answer questions. Have a look here: https://www.wikimedia.at/wikidata/

As usual, if you are planning to attend, let us know by sending an email to cafe@vdsg.at - or just let us know your email address in the mandatory field while RSVPing.

Just remember our principles:

• It is all up to you. • Stay cool, stay honest.

What we provide: As usual, we are going to provide a nice location, refreshments and snacks, Wifi, resources and coaching to support the 3 modes and a shared R-infrastructure which you are free to use!

• What to bring A laptop, headsets, writing utensils, collaborative mindset, willingness to apply Data Science and potentially your ideas.

Knowledgefeed vol. 23: Deep Learning in 60 Minutes

Thu, 01 Feb 2018 19:00:00 +0100

Dear Community,

Happy New Year! After a small break during the holiday season, we are kick-starting the year 2018 with our 23rd Knowledgefeed:

Title: Deep Learning in 60 Minutes

https://www.linkedin.com/in/alexander-d%25C3%25BCr-70a548a6

Content: In 60 minutes Alexander will give a practical introduction to deep learning. He will start by talking about the origins and motivation behind deep learning, ending with the Multi-Layer Perceptron. Then he will cover embeddings and convolutions as two important ingredients to modern deep learning. The talk will be accompanied by code samples in Keras.

Alexander Dür studied Business Informatics at TU Vienna and Quantitative Finance at WU Vienna, former data engineer at MobFox, currently Phd student at the TU Vienna and Technical Director at SYFOX.at.

As always: grab the opportunity to ask our lecturers questions, discuss your ideas and of course enjoy the company of some interesting folks!

Please do not hesitate to present your own projects, ideas or thoughts. We are more than gladly sharing the stage with you! Please refer to our blog-post / Discussion entry for further details:

https://viennadatasciencegroup.at/2016/09/06/power-to-the-people/

Looking forward to meeting you at the Knowledgefeed!

Stay tuned and visit us also on our homepage (http://viennadatasciencegroup.at/vdsg-blog/) or follow us on Twitter (https://twitter.com/viennadsg) and LinkedIn (https://www.linkedin.com/company-beta/18001448/)

Joint Event: IoT - VDSG: Digital Transformation with IoT and Data Science

Wed, 10 Jan 2018 18:45:00 +0100

Dear community, we strongly believe that the collaboration with other groups create value for everybody. We want to start 2018 with this joint event between VDSG and IoT Austria exploring the common topic: “Digital Transformation”

This time, we would follow a different format having 4 blocks. Each block consists of 20 minutes talk, 10 minutes Q&A and 10 minutes networking break.

We invite you to explore this topic together and use the space to talk with different colleagues about potential ideas and projects for 2018. If you get inspired and find the right partner for a new project, you could bring it to the next volume of Data Science Cafe to be held at the end of January.

Agenda:

• Block 1: (Self-)Introduction of Viennese MeetUps, Topic Teams and Communities

• Block 2: Martin Dusek, „Cross industry and new business models focusing on Digital Transformation“

• Block 3: Mohamed Auf, „Using Data-driven IoT to enlarge the customer experience“

• Block 4: Open Discussion of Your future projects - „Find your project partner 2018“

Looking forward to meet you there.

Knowledgefeed vol. 22: Data Science @ WU, and Team Building for Data Science

Mon, 11 Dec 2017 18:45:00 +0100

Dear Community,

get ready for the 22nd Knowledgefeed, our last one in 2017, featuring 2 talks:

Title 1: Data Science @ WU

Description: WU’s executive academy has designed a cutting edge program on data science. In just a few months, you will get to know the tools, techniques, and fundamental concepts that you need to know in order to make an impact as a data scientist.

https://executiveacademy.at/en/programs/executive-education/short-programs/data-science/

Duration: about 30 min

https://at.linkedin.com/in/katarina-lucic-b9090862 http://polleres.net/

Mag.a Katarina Lucic is responsible for Learning Design & Program Management at the WU Executive Academy, the Business school of WU. She develops tailor-made education programs with companies and is the Program Manager of the short program Data Science.

Axel Polleres heads the Institute of Information Business of Vienna University of Economics and Business (WU Wien) which he joined in Sept 2013 as a full professor in the area of “Data and Knowledge Engineering”. Since January 2017 he is also a member of the Complexity Science Hub Vienna Faculty. He obtained his Ph.D. and habilitation from Vienna University of Technology and worked at University of Innsbruck, Austria, Universidad Rey Juan Carlos, Madrid, Spain, the Digital Enterprise Research Institute (DERI) at the National University of Ireland, Galway, and for Siemens AG’s Corporate Technology Research division before joining WU Wien. His research focuses on various aspects of data management, particularly on intelligent data processing, AI, Semantic Web technologies, Web services, knowledge management, (Linked) Open Data, and related applications. He has worked in several European and national research projects in these areas with key industry players around the globe. Axel has published more than 100 articles in journals, books, and conference and workshop contributions and co-organised several international conferences.. Moreover, he actively contributed to international standardisation efforts within the World Wide Web Consortium (W3C) where he co-chaired the W3C SPARQL working group.

Title 2: Soft skills and Team Building in Data Science

Description: An introductory conversation about soft-skills and team building in Data Science. Expect the approach to be unusual, e.g. using technical code in a non-technical presentation.

Duration: about 30 min

Powered by: Maria Ines Plaza (Mari) MBA, production engineer and project management specialist with 15 years of professional experience in a variety of areas, started 2 years ago to develop her technical skills complementing her business acumen to pursue a career in Data Science. If you need to use a single word to summarise her experience, this would be Diversity. She has had the opportunity to be in different industries like IT, innovation and manufacturing and work at multinational companies like Microsoft, medium sized business and a start-up focused on Social Commerce in Latin America. Additionally, she has been involved in several projects with different cultures in remote work environments.

As always: grab the opportunity to ask our lecturers questions, discuss your ideas and of course enjoy the company of some interesting folks!

Please do not hesitate to present your own projects, ideas or thoughts. We are more than gladly sharing the stage with you! Please refer to our blog-post / Discussion entry for further details:

https://viennadatasciencegroup.at/2016/09/06/power-to-the-people/

Looking forward to meeting you at the Knowledgefeed!

VDSG Data Science Café Vol. II and Tech Pills: SPARK powered by DataPao

Fri, 01 Dec 2017 15:00:00 +0100

Dear VDSG-followers and DSCafe Enthusiasts!

We are officially announcing the second edition of our Data Science Café! And since we want to keep things fresh and interesting, we have an interesting add-on for you: the Apache Spark Tech Pill - more details below.

Let’s recap quickly what happened since the last DSCafe: We have had the chance to get to know several of our participants from DSCafe I and several projects have been evolving nicely. Now it’s time to gather again and continue applying Data Science in a relaxed atmosphere and a collaborative environment.

If you haven’t participated before: You are more than welcome to join! Regardless of your experience in Data Science, the only thing that you need is the willingness to apply it. We have a framework which guides this hands-on/heads-on experience, and you can have a look at it here: .

Just remember our design principles:

• It is all up to you.

• Stay cool, stay honest.

What we provide: We are going to provide a nice location, refreshments and snacks, WIFI, resources and coaching to support the 3 modes and a shared R-infrastructure which you are free to use!

What you bring: A laptop, headsets, writing utensils, collaborative mindset, willingness to apply Data Science, your ideas and knowledge.

AGENDA


14:30 - Informal gathering - meet the VDSG, talk to us, etc.

15:00 - Participants introduce themselves.

15:10 - Ongoing projects status

15:30 - Application of Data Science with your colleagues :). Eat cake, relax and apply that Science in the mode that you prefer.

At 17:30 you would have the chance to switch to the Tech Pills on SPARK or continue working on your project. It is up to you.

------------------------------------------------------

ADD-ON:

17:30 - Apache Spark Tech Pill - a guided hands-on Apache Spark session, led by Zoltan Toth (https://www.linkedin.com/in/zoltanctoth) and Mate Gulyas (https://linkedin.com/in/gulyasm) from DataPao (http://datapao.com/)

They have prepared beginner and intermediate examples in Spark that would be run in the Databricks notebooks, so you don't need to configure anything in advance. You can simply follow these examples and get advice if needed.

IMPORTANT: If you want to have more details prior to the event, feel free to write to us an email to .

Data Science requires time, and we want to give you that time. Relax, enjoy, talk, eat cake and apply Data Science. See you on the 1st of December and the following volumes of the DSCafe!

LG,

Mari & Maks

Knowledgefeed vol. 21: Budapest, Machine Learning and Apache Spark

Thu, 30 Nov 2017 18:45:00 +0100

Dear Community,

get ready for the 21st Knowledgefeed and let’s welcome two very special guests from our growing data scientist network in Mid-Europe!

Title: State of Data Analytics in Budapest

Description: Budapest became a prominent city for data analytics and big data. Companies like Cloudera (https://www.cloudera.com), Hortonworks (https://hortonworks.com) have chosen Budapest as their base to develop the next generation data analytics stack. This talk explains what factors contributed to this effect and provides some insights about the current landscape. I showcase interesting projects, companies and where we are headed with the community.

Duration: about 30 min

Powered by: Mate Gulyas (https://linkedin.com/in/gulyasm), partner and instructor at datapao.com (http://datapao.com/), a big data and cloud consultancy and training firm where they help companies kick off and mature their data analytics infrastructure by giving them Apache Spark, big data and data analytics training and consultancy. Previously he was co-founder and CTO of enbrite.ly (http://enbrite.ly/), an award-winning Budapest based startup. Mate has experience with big data architectures, data analytics pipelines, operation of infrastructures and growing organisations by focusing on culture spanning more than a decade. Mate also teaches big data analytics at Budapest University of Technology and Economics (http://www.bme.hu/?language=en). Speaker and organiser of local and international conferences and meetups.

Twitter: https://twitter.com/gulyasm

Title: An Intro to Machine Learning with Apache Spark

Description: In this hands-on presentation you will see a real-world use-case about MLlib (https://spark.apache.org/mllib/), the machine learning library for Apache Spark. You will understand how to apply machine learning methods in Spark and see them in action in a simple example. All code and presentation material will be shared with the audience after the talk.

Duration: about 30 min

Powered by: Zoltan C. Toth (https://www.linkedin.com/in/zoltanctoth), founder of http://datapao.com , where he spends most of his time helping companies kick off and mature their data analytics infrastructure, and gives Hadoop, big data and AWS courses regularly. He also works as senior instructor and consultant at Databricks (https://databricks.com), the company behind the Apache Spark project.

As always: grab the opportunity to ask our lecturers of the evening questions, discuss your ideas and of course enjoy the company of some interesting folks!

Please do not hesitate to present your own projects, ideas or thoughts. We are more than gladly sharing the stage with you! Please refer to our blog-post (http://viennadatasciencegroup.at/2016/09/06/power-to-the-people/) / Discussion entry (http://www.meetup.com/Vienna-Data-Science-Group-Meetup/messages/boards/thread/50113851) for further details.

Looking forward to meeting you at the Knowledgefeed!

Joint social event: Data Science Café + Vienna Data Drinks = ❤

Thu, 16 Nov 2017 19:00:00 +0100

Dear Community and DSCafé-enthusiasts,

After our first volume, and waiting for Vol 2.0 to be held on December 1st (formal invitation is coming soon), we want to invite you to join us at the well-established Data Drinks, organized by the Open Knowledge Austria - especially, if you are interested in the Data Science Café.

This time Open Knowledge Austria will hold a MeetUp at Österreichische Computer Gesellschaft (https://www.meetup.com/Open-Knowledge-Oesterreich/events/242160384/) at 5pm to talk about Open Mind Awards.

Afterwards they will meet in Kaffee Alt Wien at 7pm for their traditional Data Drinks! More information at: http://bit.ly/2hozSOv

Data Drinks is an informal event and if you are interested in the DSCafé, you would have the chance to meet and greet with some of the people that are already participated in the DSCafé while you enjoy some drinks.

If you can’t make it this time - don’t worry. This event takes place every 3rd Thursday of the month and we plan to join them in a regular basis.

We are looking forward to seeing you on Thursday and in Vol 2.0 on December 1st!

Mari and Maks

Knowledgefeed vol. 20: R and Spark

Thu, 09 Nov 2017 18:45:00 +0100

Dear Community,

get ready for the 20th Knowledgefeed of the VDSG!

After a little bit extended summer hiatus we continue our Knowledgefeed series offering you interesting talks on various essential topics in the data science domain.

For those of you joining us for the first time, here a short description:

During these sessions we are inviting specialists presenting their hands-on experience, current project or simply ideas regarding topics related to our field of interest (the reason for this rather wide description is based on the wide scope of data science (https://en.wikipedia.org/wiki/Data_science) itself… ;-)). Furthermore this gives you the opportunity to ask our lecturer of the evening questions, discuss your ideas and of course enjoy a beer in company of some interesting folks!

In addition please do not hesitate to present your own projects, ideas or thoughts…we are more than gladly sharing the stage with you! Please refer to our last blog-post (http://viennadatasciencegroup.at/2016/09/06/power-to-the-people/) / Discussion entry (http://www.meetup.com/Vienna-Data-Science-Group-Meetup/messages/boards/thread/50113851) for further details.

Title: Integrating R into the big data ecosystem using sparklyR

Description: R is a powerful language for data science, but on its own it can’t cope with large amounts of big data. sparklyR (https://spark.rstudio.com) bridges this gap by connecting R to the hadoop (http://hadoop.apache.org/) ecosystem using spark via the tidy grammar of dplyR (http://dplyr.tidyverse.org/). Agenda:

• Types of BigData

• Introduction to Hadoop & Spark (RDD)

• Integration of spark with R via sparklyR

• Architecture

• Demo

• Downsides of spark native languages

• streaming and R?

Duration: about 40 min

Powered by: Georg Heiler (https://www.linkedin.com/in/georg-heiler-019b3767/), data scientist at T-Mobile Austria, founder of ‎predictR (https://www.linkedin.com/company/9333786/). He finished his studies at the Vienna University of Technology (https://www.tuwien.ac.at/en/).

Looking forward to meeting you at the Knowledgefeed!

Stay tuned and visit us also on our homepage:

http://viennadatasciencegroup.at/vdsg-blog/

or follow us on Twitter (https://twitter.com/viennadsg) and Youtube (https://www.youtube.com/channel/UC6QK4pOaKBmPRwGCFLYklLA).

VDSG Data Science Café Vol. I

Fri, 27 Oct 2017 16:00:00 +0200

Dear VDSG-followers!

After the very successful preliminary social event we are finally announcing the very first edition of the Data Science Café!

Preliminaries:

For all those of you who couldn’t attend the preliminary social event: There is a brief description of the Data Science Café further down! Here’s a quick link to the presentation from this event: DSC Presentation ( )

Also, Join us on 19th October at the Data Drinks from Open Knowledge Austria:

. This well established and regular event is the perfect environment to meet new people interested on Data, and have a nice and relax talk with our future colleagues in the DS Café. We are going to be there, and we could clarify any doubt that you may have regarding our working modes.

DS Café Details

Based on the feedback we gathered during the social event, we are in the process of creating a set of dashboards for the purpose of displaying relevant information during the event! We are on good track, and we would share them directly at the Café.

Agenda for the event:


15:30 Informal gathering - meet the VDSG, talk to us, etc.

16:00 Reception: Official Start - Organizational and technical matters

16:15 Discussion of your ideas for projects, deciding what you want to do and with whom

16:30- Application of Data Science :) in the mode that you prefer. Remember it is all up to you! (See the presentation for more information about the DS Café modes)

IMPORTANT: In order to keep the organizational effort manageable we’d like to ask you send us an email to elaborating in one sentence on the following questions (feel free to comment below if you prefer that):

Do you have a project idea (may it be crude or specific) you want to pursue with others?
Are you are joining to team up with someone or to learn Data Science? If you are joining to learn, please tell us what you are interested in so that we can prepare the necessary resources.

What we provide: We are going to provide a nice location, availability of snacks and drinks, WIFI, resources and coaching to support the 3 modes and a shared R-infrastructure which you are free to use!

What you bring: A laptop, post-its, writing utensils, collaborative mindset, willingness to apply Data Science, your ideas and a crude notion of what you’d like to get out of the DSC :)

We are looking forward to seeing you on the 27th!

All the best,

Mari & Maks

Here is the presentation of the social event: DSC Presentation ( )

What is the Data Science Café?

It is a hackspace made by and for Data Scientists.

The focus lies on applying Data Science, coding included! Get your hands dirty, group up with others and dive head-first into cool projects (for which we’ll provide ideas if need be!)

If you need guidance or assistance with regard to Data Science or are just looking for to team up with someone - this is the place to be.

What’s the goal of the Data Science Café?

We want to bring the community together in real life, attempt cool projects and learn from each other in the process.

If you are looking to meet like-minded people in a friendly setting and do Data Science or learn about it - that’s the place what we are trying to provide to you.

You don’t need experience to join us - just bring the willingness to do Data Science!

What do we provide?

We will provide you with the following:

a data and project repository
an education resource repository
Active guidance and support

Joint social event: Data Science Café + Vienna Data Drinks = ❤

Thu, 19 Oct 2017 19:00:00 +0200

Dear Community and DSCafé-enthusiasts,

We strongly believe that Data Science is about people, communication and… well, sometimes just having a good time and enjoying oneself :)

For this reason we’d like to extend the invitation of the well-established Data Drinks, organized by the Open Knowledge Austra to all of you - especially, if you are interested in the Data Science Café.

The Data Drinks are what the name stands for: Having a good time, meeting new people interested in similar things as you and probably having a drink or two…

It’s a informal event and if you are interested in the DS Café, you would have the chance to meet and greet (and maybe group up?) with some of the people you’ll get to know during the DSCafé.

If you can’t make it on such short notice - don’t worry. This event will take place every 3rd Thursday of the month

Please RSVP directly on the main event’s meetup page: http://bit.ly/2gehirM

We are looking forward to seeing you on Thursday!

Mari and Maks

Data Science Café Volume 0: Preliminary Social Event

Fri, 29 Sep 2017 17:00:00 +0200

Dear VDSG-followers,

The summer is almost over, a new semester is about to begin and we are looking forward to seeing you again very soon!

We have been quite busy the whole summer round and are very happy to open with a big announcement: We are in the process of setting up a new event format which will complement the well-known and well-received Knowledge Feed - we call it the Data Science Café!

What is the Data Science Café about?

In a nutshell, it is a hackspace made by and for Data Scientists.

In contrast to the Knowledge Feed the focus lies on applying Data Science, coding included! Get your hands dirty, group up with others - if you feel like it - and dive head-first into cool projects.

If you need help with anything, we can assure you that there will be someone who will be willing to support you :)

Who is it for? Do I know enough to attend?

We want to stress that complete novices, enthusiasts and professionals are all most welcome. If you are willing to learn, contribute and you’re not anxious to code, please join the Social event!

The Social Event

As per now, we’d like to invite you to a social event to get to know each other, talk about your expectations and collect your ideas and feedback regarding the Data Science Café. This event will not include coding - just come as you are!

The very first “actual” Data Science Café will take place end of October, TBD.

If there are any questions, feel free to ask right away.

We are really looking forward to seeing all of you again!

All the best,

Mari & Maks

Community Event: DataCamp Vienna - Spring Edition

Tue, 30 May 2017 15:00:00 +0200

Dear Community,

The IOT Vienna, Austria Big Data Forum and the Vienna Data Science Group are co-hosting a slightly unorthodox event: We’d be happy to see you RSVP for the first barcamp in Vienna - have a look here for all the information: https://www.meetup.com/de-DE/Austrian-Cloud-and-Big-Data-Forum/events/238530740/

To all those who haven’t had a chance to attended a barcamp yet, wikipedia explains it as: “[barcamps] are open, participatory workshop-events, the content of which is provided by participants.” It is basically a self-organized event with a loose agenda. We are looking forward to meeting you there!

Vienna Data Science Group - Knowledgefeed vol. 19

Mon, 22 May 2017 18:45:00 +0200

Dear Community,

get ready for the 19th Knowledgefeed of the VDSG!

Please note, that we are meeting in the offices of Parkbob (http://www.parkbob.com/) this time (Treustraße 22-24, 1200 Vienna, see map (https://goo.gl/maps/mCnjecsEyPT2)). Thanks again guys for sharing the spirit!

For those of you joining us for the first time, a short description below.

This Knowledgefeed is featuring talks by 2 very special guests from our growing data scientist network in Mid-Europe:

Title: Spark SQL and Oracle Database Integration

Description: Spark SQL (http://spark.apache.org/docs/latest/sql-programming-guide.html) and Oracle Database make up for a powerful combination and Pawel will show us how to integrate them together.

Duration: about 30 min

Powered by: Pawel Jedrzejewicz (https://www.linkedin.com/in/pjedrzejewicz/) is a Very Large DataBase (VLDB) (https://en.wikipedia.org/wiki/Very_large_database) specialist at mBank S.A. in Warsaw. He finished his studies in the Warsaw University of Technology (https://www.pw.edu.pl/engpw). The talk is given per Skype. (This is actually a new try - let’s hope we manage to get connected this time :-)

Title: Big Data Analytics on textual data

Description: In this presentation Živko will present 3 case studies based on Big Data Analytics powered by JupiterOne (http://crossing-technologies.com/jupiterone/). Analysis on data from Facebook and Twitter will be presented for : US Election 2016, Brexit 2016 and Croatian politics. Sentiment analysis, topic extraction, named entity extraction, gender prediction, keyword detection will be presented for all 3 case studies.

Agenda:

About JupiterOne
Text analytics used in JupiterOne
Data Science challenges
Case study: US Election 2016
Case study: Brexit 2016
Case study: Croatian politics
Conclusion and Q&A

Duration: about 45 min

Powered by: Živko Krstić (https://at.linkedin.com/in/zivkokrstic) is Data Scientist @ Crossing technologies Ltd (http://crossing-technologies.com/) & Organizer of Data Science Croatia (http://crossing-technologies.com/data-science-croatia/). He obtained his master degree in Information management at the University of Split (http://eng.unist.hr/FacultiesandDepartments/tabid/390/Default.aspx) (Croatia). We are glad to enjoy his talk during his short stay in Vienna!

Looking forward to meeting you at the Knowledgefeed!

Stay tuned and visit us also on our homepage:

http://viennadatasciencegroup.at/vdsg-blog/

or follow us on Twitter and LinkedIn:

https://twitter.com/viennadsg

https://www.linkedin.com/company-beta/18001448/

Vienna Data Science Group - Knowledgefeed vol. 18

Wed, 19 Apr 2017 18:45:00 +0200

Dear Community,

get ready for the 18th Knowledgefeed of the VDSG!

Please note, that we are meeting at a different location this time. For this Knowledgefeed we will be meeting at CIR Lab at Medical University of Vienna (http://www.cir.meduniwien.ac.at/), Anna Spiegel Forschungsgebäude, Entrance: Level 3, north side of the building, 1090 Vienna (map (https://www.google.com/maps?f=q&hl=en&q=48.219658,16.349230)). Thanks again guys for sharing the spirit!

For those of you joining us for the first time, a short description below.

This Knowledgefeed is featuring following talks:

Title: Spark SQL and Oracle Database Integration

Description: Spark SQL (http://spark.apache.org/docs/latest/sql-programming-guide.html) and Oracle Database make up for a powerful combination and Pawel will show us how to integrate them together.

Duration: about 30 min

Powered by: Pawel Jedrzejewicz (https://www.linkedin.com/in/pjedrzejewicz/) is a Very Large DataBase (VLDB) (https://en.wikipedia.org/wiki/Very_large_database) specialist at mBank S.A. in Warsaw. He finished his studies in the Warsaw University of Technology (https://www.pw.edu.pl/engpw) and we are glad to enjoy his talk during his short stay in Vienna!

Title: BaseCamp.ai

Description: BaseCamp.ai (http://www.basecamp.ai/) is part of the services offered by Knoyd (https://www.linkedin.com/company-beta/10315941/) and allows you to either participate in a “bootcamp” for becoming a Data Scientist, or helps you with finding the right Data Scientist with a fitting skill-set for your project. He will present us his Startup and provide us with some use-cases and experiences he made during on of his Data Science base camps. Furthermore these two thriving Startups will give you a refreshing idea on how Data Science can not only become your passion, but also the foundation of your own company(ies).

Duration: about 15 min

Powered by: Juraj Kapasny (https://www.linkedin.com/in/jurajkapasny/) is Co-Founder and CEO @Knoyd (https://www.linkedin.com/company-beta/10315941/) and Co-Founder @BaseCamp.ai (http://www.basecamp.ai/). He obtained his double degree in Mathematics at the Masaryk University Brno (https://www.muni.cz/en) and at the Universität Wien (https://www.univie.ac.at/).

Looking forward to meet you at the Knowledgefeed!

Stay tuned and visit us also on our homepage;

http://viennadatasciencegroup.at/vdsg-blog/

or follow us on Twitter and LinkedIn:

https://twitter.com/viennadsg

https://www.linkedin.com/company-beta/18001448/

Vienna Data Science Group - Knowledgefeed vol. 17

Thu, 09 Mar 2017 18:45:00 +0100

Dear Community,

get ready for the 17th Knowledgefeed of the VDSG!

For those of you joining us for the first time, a short description below.

For those you going thirsty over the holiday-season, feed your brain with some knowledge regarding:

Data Market Austria and Data Science Continuing Education

This talk will begin by presenting Data Market Austria (http://datamarket.at), a recently-started project building a Data-Services Ecosystem in Austria. It will cover:

• What is the vision for Data Market Austria?

• How is DMA planned to develop?

• What are some of the technologies behind DMA?

• How can one participate in DMA?

• What are the requests from practitioners for DMA?

Finally, an outline of a Data Science Continuing Education (https://cec.tuwien.ac.at/home/EN/) course being developed at the TU Wien will be presented. Input on how to make this course better meet the requirements of practitioners is requested.

Duration: about 30 min

Powered by: Allan Hanbury (https://at.linkedin.com/in/allan-hanbury-9483a26) is a senior researcher at the TU Wien (https://www.tuwien.ac.at/), leads the Data Science Research Studio at the Research Studios Austria, and is a co-founder of ContextFlow (http://contextflow.com/). He has led research and innovation projects of all sizes, from small basic research projects to large multi-country EU projects.

Looking forward to see you at the Knowledgefeed!

Stay tuned and visit us also on our homepage;

http://viennadatasciencegroup.at/vdsg-blog/

or follow us on Twitter:

https://twitter.com/viennadsg

Vienna Data Science Group - Knowledgefeed vol. 16

Thu, 26 Jan 2017 18:30:00 +0100

Happy New Year!

After a small break during the holiday season, we are kick-starting the year 2017 with our 16th. Knowledegfeed.

For those of you joining us for the first time, a short description below.

For those you going thirsty over the holiday-season, feed your brain with some knowledge regarding:

Title: Big Data Processing Engines

Description: An overview of Big Data Processing engines with a focus on Apache Spark and Apache Flink. In particular, we address the following questions

• What are big data processing paradigms and how do Spark 1.x/Spark 2.x and Apache Flink solve them?

• When to use batch and when stream processing?

• What is a Lambda-Architecture and a Kappa Architecture?

• What are the best practices for your project?

Showcases target different areas and links will be provided along the way. By the end of the talk you will have a basic understanding of what can be done with Big Data Processing Engines and know how to get started.

Duration: about 45 min

Powered by: Stefan Papp (https://at.linkedin.com/in/stefanpapp), Data Architect who is working for “The unbelievable Machine Company (https://www.unbelievable-machine.com/en/)". Stefan is also a certified Hadoop trainer and lecturer at the FH Technikum (https://www.technikum-wien.at/studium/?gclid=CJLOh4WJx9ECFcMW0wodzfACuQ). He studied Software Engineering at University of Applied Sciences in Hagenberg (https://www.fh-ooe.at/en/hagenberg-campus/).

Looking forward to see you at the Knowledgefeed!

Stay tuned and visit us also on our homepage;

http://viennadatasciencegroup.at/vdsg-blog/

or follow us on Twitter:

https://twitter.com/viennadsg

Vienna Data Science Group - Knowledgefeed vol. 15

Fri, 02 Dec 2016 19:00:00 +0100

Dear Community,

we are proudly announcing our 15th. Knowledegfeed. For those of you joining us for the first time, a short description below.

This evening we will have following talks:

Title: A quick glance at Python’s Scientific Stack

Description: An overview of the Scientific Computing ecosystem in Python is given.In particular we address the following questions:

• Why consider Python for scientific computing?

• How is the scientific stack structured?

• What kind of tools are available?

Showcases target different areas and links will be provided along the way. By the end of the talk you will have a basic understanding of what can be done with Python and know how to get started.

Duration: about 30 min

Powered by: Claus Aichinger, Data Scientist and Python enthusiast who enjoys to contribute to and participate in the community. Currently a Research Engineer at the Austrian Institute of Technology (AIT) (http://www.ait.ac.at/), working on data analysis and statistical modeling tasks in national and international research and customer projects. Studied Mathematics and Physics at the University of Vienna (https://www.univie.ac.at/). Freelancer

Title: The Pillars of Data Science fetching and transforming data

Description:In contrast to what “the sexiest job of the 21st century” would suggest, a Data Scientist’s most time consuming task is fetching and transforming data, so that it can serve as input for any subsequent modelling. Thus, having the right tools at one’s disposal will free up significant resources.

This talk aims to introduce beginner and intermediate R users to the most useful packages, resources and functionalities that might improve one’s efficiency in conquering the boring tasks. We will have a look at packages such as magrittr, dplyr and others.Also, some of R’s quirks and oddities will be highlighted, which partially arise as a consequence of the huge size of the community and the plethora of available packages.

Duration: about 30 min

Powered by:Maks Chudzicki (https://www.linkedin.com/in/maksymilian-chudzicki-912a49131?authType=NAME_SEARCH&authToken=4-Ni&locale=en_US&trk=tyah&trkInfo=clickedVertical%3Amynetwork%2CclickedEntityId%3A543051230%2CauthType%3ANAME_SEARCH%2Cidx%3A1-1-1%2CtarId%3A1480093789206%2Ctas%3AMaks), a Data Scientist working for a large steel trading company who works with R on a daily basis and is always in the lookout for ways to make his work more efficient. He has a background in natural sciences and graduated from the TU Vienna (https://www.tuwien.ac.at/) where he was working on Monte Carlo simulations.

Thanks a lot in advance and see you at the Knowledgefeed!

Stay tuned and visit us also on our homepage;

http://viennadatasciencegroup.at/vdsg-blog/

or follow us on Twitter:

https://twitter.com/viennadsg

Vienna Data Science Group - Knowledgefeed vol. 14

Fri, 21 Oct 2016 19:00:00 +0200

Dear Community,

we are proudly announcing our 14th. Knowledegfeed. For those of you joining us for the first time, a short description below.

This evening we will have following talks:

Title: Linked Data for Data Science

Description: What is Linked Data and what is a Semantic Layer? How can it be used in the context of Data Science? Introduction, basics and benefits of Semantic Web technologies. Examples and demos of implementations.

Duration: about 30 min

Powered by: Andreas KOLLER (https://www.linkedin.com/in/ankoller) studied at the higher technical collage of electronics in Innsbruck. In 2001 he was co-founder of the software company punkt. netServices. Andreas is managing partner at the Semantic Web Company (https://www.semantic-web.at/), applying his technological expertise as the company’s CIO. One focus of his activity is on the evaluation of tools for the Semantic Web. In this role, he has contributed to the technical implementation of semantic technologies in numerous projects, with the design of system architectures and concepts being a key aspect where customer added-value can be generated through the use of semantic technologies.

Title: Summary of the results for the famous “Summer Of Code”

Description: This will be a summary on the results for our beloved “Summer Of Code”. Just to remind you, OwnYourData (https://www.ownyourdata.eu/) is an innovative nonprofit association providing you with a secure online-environment and tools, to analyse your data on the spot. As a result of a fruitful collaboration with us (http://viennadatasciencegroup.at/) we commenced the “Summer Of Code (http://viennadatasciencegroup.at/wp-content/uploads/2016/07/OYD_160617.pdf)" in July this year. The aim was to support this great idea and OwnYourData with the development of their platform by working on pre-specified projects, or simply coming up with your own idea. Christoph will be presenting you with the glorious results of these projects, which are listed below:

Security & Vulnerability Assessment (https://www.ownyourdata.eu/wp-content/uploads/2016/07/OYD_SecRA_V1_0.pdf) of the OwnYourData platform realized by Mr. Max Riedl

Python Tutorial (code available on Git-Hub (https://github.com/OwnYourData/tutorial/tree/master/Python)) realized by Mr. Steven Malin

Enhancement of the Banking-App (https://www.ownyourdata.eu/2016/09/26/ein-container-voller-daten/) realized by the gentlemen Roger Gomez and Christoph Fabianek himself

Duration: about 30-45min

Powered by: Christoph FABIANEK (https://www.linkedin.com/in/fabianek) has earned his PhD at the Technical University of Vienna (https://www.tuwien.ac.at/) in Mathematics. After finishing his MBA in General Management at the Donau University Krems (http://www.donau-uni.ac.at/de/studium/?gclid=COaGzqqZyc8CFfMW0wod1zYIGg) he moved to Frequentis (http://www.frequentis.com/index.php?id=8&L=2&tx_mmcregioncontrol_pi1[region]=10) and works there currently as project manager in the field of public safety and air traffic management.

Thanks a lot in advance and see you at the Knowledgefeed!

Stay tuned and visit us also on our homepage;

http://viennadatasciencegroup.at/vdsg-blog/

or follow us on Twitter:

https://twitter.com/viennadsg

Vienna Data Science Group - Knowledgefeed vol. 13

Fri, 16 Sep 2016 19:00:00 +0200

Dear Community,

we are proudly announcing our 13th. Knowledegfeed. For those of you joining us for the first time, a short description below.

During these sessions we are inviting specialists presenting their hands-on experience, current project or simply ideas regarding topics related to our field of interest (the reason for this rather wide description is based on the wide scope of data-science (https://en.wikipedia.org/wiki/Data_science) itself… ;-)). Furthermore this gives you the opportunity to ask our lecturer of the evening questions, discuss your ideas and of course enjoy a beer in company of some interesting folks!

This evening we will have following talks:

Title: Data Science and CRM

Description: An introduction on how data-science is currently used for CRM (Customer Relationship Management) in the context of a banking-environment.

Duration: about 15min

Powered by: Peter Koglmann (https://www.linkedin.com/in/peter-koglmann-814b10a7?authType=NAME_SEARCH&authToken=ek0I&locale=en_US&trk=tyah&trkInfo=clickedVertical%3Amynetwork%2CclickedEntityId%3A381979024%2CauthType%3ANAME_SEARCH%2Cidx%3A1-1-1%2CtarId%3A1473170786519%2Ctas%3APeter) studied Physics at the University of Vienna and is currently working as a pioneer/data-scientist on the CRM-topic for an international bank. Dear Peter is furthermore an ambitious co-founder of our community, the Vienna Data Science Group (http://viennadatasciencegroup.at/)!

Title: A workflow + setup for interactive investigation of securityevents

Description: The detection of novel, yet unknown attacks and intrusions is one of the core challenges in a global internet connected world. A recording of security events produces huge amounts of data, which then can/must be mined for the one critical event of a successful system intrusion. Martin Pirker will give us a short introduction of the setup and the workflow they employed to rapidly test and integrate new ideas on the data.

Duration: about 20-30min

Powered by: Martin Pirker has earned his PhD at the Graz University of Technology. He is currently teaching and researching at the Josef Ressel Center (http://www.jrz-target.at/) for Unified Threat Intelligence on Targeted Attacks, St. Pölten University of Applied Sciences (https://www.fhstp.ac.at/en) .

Thanks a lot in advance and see you at the Knowledgefeed!

Stay tuned and visit us also on our homepage;

http://viennadatasciencegroup.at/vdsg-blog/

or follow us on Twitter:

https://twitter.com/viennadsg

Vienna Data Science Group - Knowledgefeed vol. 12

Fri, 17 Jun 2016 19:00:00 +0200

Dear Community,

we are proudly announcing our 12th. Knowledegfeed. For those of you joining us for the first time, a short description below.

During these sessions we are inviting specialists presenting their hands-on experience, current project or simply ideas regarding topics related to our field of interest (the reason for this rather wide description is based on the wide scope of data-science (https://en.wikipedia.org/wiki/Data_science) itself… ;-)). Furthermore this gives you the opportunity to ask our lecturer of the evening questions, discuss your ideas and of course enjoy a beer in company of some interesting folks!

This evening we will have following talk:

Title: OwnYourData

Description: How to collect and analyze your own data? OwnYourData gives data scientists a platform to share algorithms and provides users with a rich set of functionality to benefit from their own data. The talk presents the architecture of OwnYourData, describes the legal environment, and demonstrates the current state of the project.

Duration: about 30min

Powered by: Christoph Fabianek (https://www.linkedin.com/in/fabianek) studied mathematics and economy and is currently product manager at Frequentis AG. Besides he works in the fields of data analysis and studies the interaction of social systems; both areas where he founded startups (CrowdStatus.net (http://crowdstatus.net/), OwnYourData.eu (http://ownyourdata.eu/)).

Thanks a lot in advance and see you at the Knowledgefeed!

Stay tuned and visit us also on our homepage:

http://viennadatasciencegroup.at/vdsg-blog/

Vienna Data Science Group - Machine Learning Hackathon

Sat, 11 Jun 2016 12:00:00 +0200

Stay tuned for our hackathon - the second and final part of our ‘Machine Learning’ series which will take place at Metalab (https://metalab.at/wiki/Info_Folder/en).

We will start our cozy round with a short intro talk, whereas René (our Julia ace) will be presenting some algorithms and in which situations they can show their highest potential.

In the proposed projects we will look at four different topics, namely

• classification,

• regression,

• dimensionality reduction and

• clustering.

We will provide some data sets to work on, but feel free to bring your own! Language-wise, we can provide support for Matlab and Julia and a bit of Python, but of course you can use whatever you want!

After the intro talk, we suggest you pick one of the following projects (or bring your own), work on them individually or in groups or all togehter and we provide support wherever we can.

Project proposal 1: Classification of Images (e.g. numbers 0-9) Project proposal 2: Embedding / Dimensionality Reduction of Images Project proposal 3: Regression, e.g. price predictions Project proposal 4: Clustering, i.g. find groups in your data

In order to help us preparing this HACKATHON and tailoring it to your needs / wishes, we would kindly like to ask you to give us a short feedback in the comments on following points:

• Your prefered project

• The Language you would like to use

• Your skillevel regarding the above stated language: Richard Stallman / Intermediary / Starter

Thanks a lot in advance and see you at the Hackathon!

You can also visit us on our homepage on: http://viennadatasciencegroup.at/vdsg-blog/

Vienna Data Science Group - Monthly meeting

Thu, 12 May 2016 19:00:00 +0200

This month our monthly team meeting will be on the 2nd thursday! Please take notice that the meeting will NOT take place in metalab, but at CIR Lab (see above).

The main talk will be given by Georg Langs, professor at CIR Lab at Medical University of Vienna (http://www.cir.meduniwien.ac.at/) and also working at MIT (http://www.mit.edu/), about

‘Machine learning and what we can do with it’

and will be the first part of a two-part series.

The second part will be a hackathon where the main emphasis will be on the practical application of the heard things with tools like machine learning libraries (e.g. Tensorflow,…). More details will be given on time here: http://viennadatasciencegroup.at/vdsg-blog/

For former lectures held by our members look here: https://metalab.at/wiki/Vienna_Data_Science_Group or here: http://viennadatasciencegroup.at/vdsg-blog/