Course curriculum

  • 1

    ODSC Keynotes

    • The Big Wave of AI at Scale by Luis Vargas, PhD

    • Bridging the Gap Between Data Scientists and Decision Makers by Ken Jee

    • Physics-inspired Learning on Graph by Michael Bronstein, PhD

  • 2

    Demo Talks

    • Run Azure Machine Learning Anywhere in Multi-cloud or on Premises ​by Doris Zhong

    • Introduction to WSL2 for Data Science with Z by HP by Akram Dweikat

    • Graph Embeddings: 5 Ways Your AI Can Learn From Your Connected Data by Nicolas Rouyer

    • The Rapid Evolution of the Canonical Stack for Machine Learning by Lee Baker

    • The Hidden Layers of Tech Behind Successful Data Labeling by Glen Ford

    • Is Reinforcement Learning the Right Tool for Your Problem by Prof. Pulkit Agrawal

  • 3

    Extra Events

    • Women in Ignite by Flora Tasse, PhD, Nollie Maoto, Laia Subirats, PhD