A Look Into ODSC Europe 2020 Focus Areas
This September, the ODSC Europe 2020 Virtual Conference will be focusing on the topics that are trending in data science in 2020 and into 2021. Although you might have heard about some of these focus areas a lot over the last year or so, they are constantly evolving and pushing the boundaries of the data science field.
[Related article: How to Convince Your Boss to Attend ODSC Europe 2020]
ML/DL
Experts in the Machine Learning and Deep Learning Track will discuss the latest advances, trends, and models in these rapidly expanding fields. Creators and top practitioners will share their knowledge and expertise in talks, tutorials, and workshops on the latest models and trends.
Confirmed Speakers Include
- Daria Stepanova, PhD | Research Scientist│Bosch Center for AI
- Dat Tran│Head of AI│Axel Springer SE | Training a Machine to See What’s Beautiful (esp. for Hotel Photos)
NLP
Explore the rapidly advancing field of NLP with the core practitioners and open-source contributors. Learn about the latest advancements and trends, including pre-trained models, with use-cases focusing on deep learning, speech-to-text, and semantic search.
Confirmed Speakers Include
- Joanneke Meijer│Data Science Manager│Amsterdam Data Collective│Sustainable Retail Through Open Source, Scraping and NLP
- Debanjana Banerjee│Data Scientist │Walmart Labs | CRESST: Complete Rare Event Specification using Stochastic Treatment
Research Frontiers
Data science is advancing at a tremendous pace, with new research and models announced every month. To help data scientists keep abreast of the latest advances, this track brings the most relevant information to you. World-class academics, researchers, and professionals summarize the latest research across focus areas and help identify what’s important.
Confirmed Speakers Include
- Dr. Zeynep Akata│Professor Of Computer Science│University of Tübingen| Learning and Explaining with Limited Labels
- Dr. Lora Aroyo│Research Scientist│Google
Kickstarter
The Data Science Kick-start track offers many introductory-level talks, tutorials, and workshops to get you started building in-demand skills. Our expert speakers and presenters offer world-class instruction, and give you invaluable insights to help you learn what matters most. We cover the most important tools, topics, and techniques in use to ensure you hit the ground running.
Confirmed Speakers Include
- Matt Brems│Global Lead Data Science Instructor│General Assembly | Natural Language Processing Fundamentals in Python
- Gabriel Bianconi│Founder│Scalar Research | Introduction To Face Processing With Computer Vision
ML for Programmers
With the rapid growth of AI comes an increasing demand for machine learning engineers and programmers. An ML engineer works at the intersection of software engineering and data science. Learn how to build on your programming skills to engineer the next generation of artificial intelligence-enabled software. On the ML for Programmers track, you’ll explore everything from data wrangling, modeling, and workflow, to essential deep learning and machine learning frameworks.
Confirmed Speakers Include
- Dr. Kirk Borne│Principal Data Scientist│Booz Allen Hamilton | Atypical Applications of Typical Machine Learning Algorithms
- Jared Lander│Chief Data Scientist│Lander Analytics | Machine Learning in R Part I: Penalized Regression and Boosted Trees
Data Visualization
The data visualization track brings together the world’s most creative minds that are changing the way we visualize, understand, and interact with data. Join a community of designers, data scientists, and developers to learn the art of storytelling, information communication, and data visualization using the latest open source tools and techniques.
Confirmed Speakers Include
- Max Humber│Lead Instructor│General Assembly-Animating Data: From matplotlib plots to GIFs
- Dr. Katharina Glass│Manager Data Scientist│Aurubis AG-Dare to Start Simple
R for Data Science
Learn the models, packages, and tools for R, one of the most popular languages for statistical modeling and a data science powerhouse platform with dozens of packages and interfaces for machine learning, deep learning, and data visualization.
MLOps & Data Engineering
As data science extends its reach across an enterprise, the need for better management, workflow, production and deployment practices to meet the challenges of deploying and monitoring models in production, managing data science workflows and teams, and understanding ROI increases. Learn how to effectively incorporate data science practice into the wider business process with use cases, best practices, and stories from the field.
Confirmed Speakers Include
- Stephanie Kirmer│Data Science Technical Lead│Journera | Making Happy Modelers: Build and Maintain Your Data Warehouse with AWS Redshift and Airflow
- Ian Horrocks, PhD│Professor│University of Oxford | Which is the tallest building in Europe? — Representing and Reasoning About Knowledge
Mini-Bootcamp
Grow your skillset with a unique learning path that will start in July and take you through September. With many opportunities to learn from some of the best and brightest minds in data science and AI, you’ll leave the Mini-Bootcamp armed with new tools and knowledge that can be immediately applied to your work. The Mini-Bootcamp learning path will include
- Pre-Bootcamp On-Demand Training covering the fundamentals of programming with Python, statistics, and SQL
- Pre-Bootcamp Live Training with the AI+ instructor of your choice
- A Virtual Hackathon that gives you an opportunity to put your new skills to the test
- 3 or 4-day Bootcamp at the conference where you’ll have access to
- 6 sessions covering data science fundamentals
- 50+ training sessions, workshops, and talks
- The Virtual AI Expo and Demo Talks
- The Virtual Career Lab and Expo
[Related article: The Second Round of ODSC Europe 2020 Speakers]
Don’t forget to join us this September to learn how advancements in these focus areas are pushing the boundaries of what data scientists can do.
