ML Experimentation with DVC and VS Code

Discover how to manage and enhance the reproducibility of machine learning projects using DVC, an open-source tool, and its extension for VS Code in this 40-minute conference talk from the Toronto Machine Learning Series (TMLS). Explore techniques for tracking datasets and models, running and comparing experiments, and visualizing results directly within the VS Code integrated development environment. Learn from Alex Kim, a Solutions Engineer at Iterative.AI, as he demonstrates how to streamline your machine learning workflow and improve project organization using these powerful tools.

ML Experimentation with DVC and VS Code