Edmond Konya | Vienna Data Science Group

Upcoming Blockchain Summit

Wed, 26 May 2021 13:00:00 +0000

This year the Blockchain Summit of the two major blockchain research projects in Austria is 26.5.2021 13:00-16:30 Due to the ongoing pandemic situation this year it will be an online event via MSTeams. For more information, program and registration, see: https://www.fhstp.ac.at/de/newsroom/events/blockchain-summit

We are looking forward to see you there! 🙂

Call for Papers Data Science Summit 2020

Fri, 16 Oct 2020 13:00:00 +0000

Please feel invited to submit your speech within the Call for Papers of Data Science Summit, which will take place on 16th of October 2020 in Warsaw.

ABOUT THE EVENT:

4th edition, the largest event in this thematic area in CEE Region
Just as previously – we expect to host at least a few parallel presentation paths
Thematic areas covered: everything related to data processing, analytics and visualization (from ML and Big Data, through statistics, up to BI – details at the below website)
In case of limitations related to the pandemic situation – the event will be hosted fully online or in a hybrid way (e.g. the conference online and pre/afterparty locally)

Details and CfP form: https://DSSconf.pl/en/cfp Deadline for submission: 13.07.2020, 23:59

Organizers: Data Science Warsaw, Fundacja Academic Partners Official event website: www.DSSconf.pl/en FB event: https://www.facebook.com/events/2951397434932274/

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

Mon, 12 Oct 2020 19:00:00 +0000

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:

Note

(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

Women in Tech Conference 2020

Wed, 29 Jul 2020 19:00:00 +0000

Good news! VDSG is an official supporter of Women in Tech Conference. Women Techmakers Vienna goes online on the Friday 7th Aug 16:00-19:30, Saturday 8th Aug 09:30-13:00. The registration for #WTMVIE2020 is finally OPEN! Hurry up and get your ticket now at https://bit.ly/2EjFhFh!

Pie & AI: Vienna – Deep Learning in Algorithmic Trading

Fri, 17 Jul 2020 17:00:00 +0000

Download Slides

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:

Note

(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

Fri, 10 Jul 2020 13:00:00 +0000

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.

DSS Elevate Virtual Salon

Thu, 18 Jun 2020 13:00:00 +0000

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.

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.

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/