Machine Learning Data Version Control (DVC): Reproducibility and Collaboration in your ML Projects
September 28, 2022
10:00 AM Central Time (US and Canada)
In this session, we’ll do a demo where you’ll learn how to manage and make your machine learning projects reproducible with our open-source tool DVC and the DVC extension for VS Code IDE. We will see how to track datasets and models, run, compare, visualize, and track machine learning experiments right in VS Code. We’ll then go over our GitOps-based model registry solution. Search, share, and manage all models with full context around model lineage, version, production status, data used to train model, and more.
Speaker: Alex Kim, Solutions Engineering, Iterative
Alex Kim is a Solutions Engineer at Iterative. His background is in physics, software engineering, and machine learning. In the last couple of years, he became increasingly interested in the engineering side of ML projects: processes and tools needed to go from an idea to a production solution.
