We’re heading to Europe (virtually) a little earlier this year! The ODSC Europe 2021 Virtual Conference will be held June 8th-10th, 2021, and you can still expect the same breadth of content that you’d get from an in-person conference. Here’s a bit more about what you you’ll find at ODSC Europe 2021.
What separates ODSC events from other virtual conferences is the diversity of content offered. Our speakers come from various industries – both professional and academic – to showcase their expertise in anything machine learning, deep learning, NLP, and more.
The ODSC Europe 2021 Virtual Conference will have something for everyone: from ML and DL to business applications and case studies, and from beginner to advanced. Regardless of where you are in your data science career, there’s a path for you. Some focus areas include:
Machine Learning & Deep Learning | NLP | Research Frontiers | Data Science Kick-start | Machine Learning for Programmers | Data Visualization | MLOps & Data Engineering
With over 50 training sessions and workshops, and over 250 hours of original content, there’s something for everyone. While we’re still in the early stages of selecting speakers, here are a few previous keynote speakers that represent what you can expect from ODSC Europe 2021:
- Dr. David Armstrong: Researcher, Ernest Rutherford Fellow Working On Exoplanet Detection | University of Warwick
- Dr. Lora Aroyo: Research Scientist | Google Research, NY
- Dr. Iain Brown: Head Of Data Science, Adjunct Professor, Operational Research Society Member, Author Of A Book On Credit Risk Modeling | SAS UK | University of Southampton
- Luc De Raedt, PhD: Director, Professor | Leuven.AI, KU Leuven
- John Shawe-Taylor, PhD: Chair in AI, Professor | CSML, University College London
- Luc Moreau, PhD: Professor of Computer Science and Head of the Department of Informatics | King’s College
- Steven Huels: Senior Director | Red Hat AI Center of Excellence
- Sherard Griffin: Director in AI Center of Excellence | Red Hat
Aside from the specific focus areas, you’ll learn about important topics like recommendation systems, transfer learning, machine vision, unsupervised learning, and more, in addition to the countless tools that data scientists use daily like frameworks, libraries, and other in-demand skills.
Virtual Conference Format
What’s online training like?
All training sessions are modular, meaning everything is structured in an easy-to-follow format designed to balance instruction, hands-on training, and then a Q&A session. This ensures that you get the information you need, followed by a practice run and actual implementation of the new code, then a chance to ask questions related to what you just learned.
It’s in the Cloud
By using Jupyter Notebook and Codelab, most training sessions will be on open-source, cloud-based documents to host and share code, visualizations, text, and other important information needed for your training session.
All of these sessions are in real-time, and function as if you’re at a conference in-person. The presenter will walk through everything right then and there.
Each session will have its own communication channel, too, meant for real-time discussion with other participants and for the Q&A part of each module.
It’s easy to switch between tracks, too. Everything will be viewed in an easy-to-use dashboard, so it’s simple to switch between focus areas. Halfway through the current machine learning session but want to learn more about NLP? You can easily switch to that one and catch the first half on-demand.
On-demand videos will be made available for each session. Need to rewatch one that you participated in live? Had to choose between two talks that you were interested in? These videos will be available for you immediately. The module format will make it easy for you to follow, especially if you only need to refresh your memory for one section of a session.
Materials are all online
Everything will be right there for you in each session. While it’s recommended that you set up as much as possible before each session, such as downloading required programs and familiarizing yourself a bit with the topic, all session materials will be made available to you right there. Any subsequent materials (such as something mentioned in a Q&A session) can be shared via the unique communication channel, too.
A popular component of conferences is the networking aspect. Some people may be concerned that a virtual event may not allow them to connect with others as they normally would. However, the ODSC Europe 2021 Virtual Conference will have a virtual lounge where you can connect with people from all over the world. Whereas an in-person event allows you to meet someone local, a virtual event will give you the opportunity to meet people that you may never meet otherwise.
To quote an attendee, Michael T., “Folks at ODSC making this year’s #ODSCVirtual event feel almost…not virtual.”
By connecting with other data scientists from around the world, you get the chance to explore how different cultures, universities, and organizations work with AI. What does an AI lab do differently from one in Europe? How does an English business implement AI differently from one in China? The connections formed at a virtual event will create an eye-opening experience for those who attend.
Expo Hall: In the Virtual AI Expo, you’ll be able to visit 20+ booths to learn the latest solutions in AI for your organization. Hear more about the topics you need to get ahead like AutoML, data labeling, DevOps, DataOps, Deep Learning, BI Platforms, and more. Watch demo sessions on these hot topics and find out what’s the best fit for you.
Career Expo: The Virtual AI Career Expo will be the best place to find a career in data science with our hiring partners, get advice on how to plan your career through our Mentor & Career Talks, and see what your life could be like as a data scientist in another city – or even country.
Contests: We encourage participation! By watching talks & workshops, interacting in our chats, posting on social, and checking out partner booths, you’ll be automatically entered in a chance to win awesome prizes.
Women’s Ignite Session: This session comprises multiple 5-7 minute lightning talks by women in data science on technical topics, such as highlighting research, describing an important tool, or showcasing a unique case study.
Register now for 75% off
Ready to sign up for the biggest virtual data science conference yet? Register here for 75% off your ticket. This sale ends Friday, June 22nd, so don’t delay!