The machine learning space brings extra challenges in the form of the hundreds and thousands of ML experiments and the large datasets involved. This can be accomplished right from VScode using the DVC extension. We will show how Git can be used as a source of truth for ML experiments.

The machine learning space brings extra challenges in the form of the hundreds and thousands of ML experiments that must be tracked and the large datasets involved. This can be accomplished right from VScode code editor using the DVC extension for VScode. We will show how Git can be used as a source of truth for ML experiments and how teams can collaborate by sharing modeling code and metrics using Git and GitHub.
ML teams will learn how to use the existing tools such as Git, GitHub or GitLab in ML teams and how to better collaborate with software engineering and DevOps teams.