<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>X-Europe | Vienna Data Science Group</title><link>https://viennadatasciencegroup.at/tags/x-europe/</link><atom:link href="https://viennadatasciencegroup.at/tags/x-europe/index.xml" rel="self" type="application/rss+xml"/><description>X-Europe</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 10 Dec 2021 17:00:00 +0000</lastBuildDate><image><url>https://viennadatasciencegroup.at/media/logo_hu_48e0bf9b9faa54b6.png</url><title>X-Europe</title><link>https://viennadatasciencegroup.at/tags/x-europe/</link></image><item><title>Data-Centric AI Practices</title><link>https://viennadatasciencegroup.at/event/past-events/2021-12-10/</link><pubDate>Fri, 10 Dec 2021 17:00:00 +0000</pubDate><guid>https://viennadatasciencegroup.at/event/past-events/2021-12-10/</guid><description>&lt;h2 id="about-the-speaker"&gt;about the speaker&lt;/h2&gt;
&lt;p&gt;PhD. at Princeton University advised by Sebastian Seung. Interested in artificial intelligence including machine learning, computer vision, a little bit neuroscience. The idea of creating Hub came to Davit while he was pursuing a Ph.D. at Princeton Neuroscience Lab, where his research involved reconstructing the topology of mouse brains. As part of his research, he dealt with large-scale unstructured data which could cost millions of dollars a year to store. That inspired Davit to create Hub, and eventually Activeloop, the database for AI company. More about Davit on his page.&lt;/p&gt;
&lt;h2 id="about-the-talk"&gt;about the talk&lt;/h2&gt;
&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>Digitizing Construction with AI</title><link>https://viennadatasciencegroup.at/event/past-events/2021-11-10/</link><pubDate>Wed, 10 Nov 2021 17:00:00 +0000</pubDate><guid>https://viennadatasciencegroup.at/event/past-events/2021-11-10/</guid><description>&lt;p&gt;Hi Everyone,&lt;/p&gt;
&lt;p&gt;X-Europe Webinars is back with an exciting talk about AI in Construction Projects!&lt;/p&gt;
&lt;p&gt;Please RSVP here for the event AND Register on the webinar&amp;rsquo;s page: &lt;a href="https://bit.ly/x-europe-webinar" target="_blank" rel="noopener"&gt;https://bit.ly/x-europe-webinar&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;
&lt;p&gt;About the Talk:&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;
&lt;p&gt;About the Speaker:&lt;/p&gt;
&lt;p&gt;Bharath Sankaran, roboticist by training with expertise in computer vision, machine learning and manipulation, CTO and co-founder of Scaled Robotics.&lt;/p&gt;
&lt;p&gt;See you there!&lt;/p&gt;</description></item><item><title>Managing the Machine Learning Lifecycle – Best Practices for MLOps with MLFlow</title><link>https://viennadatasciencegroup.at/event/past-events/2020-05-25-mlops/</link><pubDate>Mon, 18 May 2020 18:00:00 +0000</pubDate><guid>https://viennadatasciencegroup.at/event/past-events/2020-05-25-mlops/</guid><description>&lt;div style="position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden;"&gt;
&lt;iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share; fullscreen" loading="eager" referrerpolicy="strict-origin-when-cross-origin" src="https://www.youtube.com/embed/_zCFIqFPaSA?autoplay=0&amp;amp;controls=1&amp;amp;end=0&amp;amp;loop=0&amp;amp;mute=0&amp;amp;start=0" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border:0;" title="YouTube video"&gt;&lt;/iframe&gt;
&lt;/div&gt;
&lt;p&gt;Hi,&lt;/p&gt;
&lt;p&gt;Please join us on the next series of the X-Europe joint meetup webinars!&lt;/p&gt;
&lt;p&gt;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!&lt;/p&gt;
&lt;p&gt;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&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;
&lt;p&gt;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&lt;/p&gt;
&lt;p&gt;PLEASE REGISTER AT:
&lt;a href="https://bit.ly/2WzP94h" target="_blank" rel="noopener"&gt;https://bit.ly/2WzP94h&lt;/a&gt;&lt;/p&gt;</description></item></channel></rss>