Episode
Machine Learning Experimentation in VS Code with DVC Extension
with Reynald Adolphe, Alex Kim
Join us and learn how to manage and make your machine learning projects reproducible with an open-source tool DVC and the new extension. We will see how to track datasets and models, run, compare, visualize, and track machine learning experiments right in VS Code.
Chapters
- [00:00] - VS Code Livestream begins
- [01:36] - Welcome and intro
- [04:17] - Today's example ML problem
- [06:59] - What is DVC and why use it
- [10:19] - Intro model
- [11:25] - Demo DVC Extension for VS Code
- [19:02] - Q&A
- [36:22] - Learn more
Recommended resources
Connect
Join us and learn how to manage and make your machine learning projects reproducible with an open-source tool DVC and the new extension. We will see how to track datasets and models, run, compare, visualize, and track machine learning experiments right in VS Code.
Chapters
- [00:00] - VS Code Livestream begins
- [01:36] - Welcome and intro
- [04:17] - Today's example ML problem
- [06:59] - What is DVC and why use it
- [10:19] - Intro model
- [11:25] - Demo DVC Extension for VS Code
- [19:02] - Q&A
- [36:22] - Learn more
Recommended resources
Connect
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