Machine Learning Experiment Tracking with VS Code, Git, and DVC
Dmitry Petrov, creator of DVC, provides a history of machine learning experiment tracking tools and how and why experiment tracking can be done with VS Code, Git and DVC to provide truly reproducible data science for ML teams. In this session from the HighLoad Conference in December 2022, Dmitry teaches:
1. The importance of experiment tracking
2. How to leverage the tools you already use for machine learning: VS Code and Git
This system improves the development experience by keeping everything in the IDE and reducing the number of moving parts in your ML infrastructure.
📌 START LEARNING DVC
• 📘 Docs: https://dvc.org/doc
• 🎓 Free Online Course: https://learn.dvc.org
• 💻 VS Code Extension: https://marketplace.visualstudio.com/...
• 📺 Subscribe to our channel: / @dvcorg8370
💬 LET'S CONNECT
• GitHub: https://github.com/iterative/dvc
• Discord Community: https://dvc.org/chat
• Twitter/X: / dvcorg
• LinkedIn: / iterative-ai
👇 COMMENT: What part of DVC would you like us to cover next?
#DataVersionControl #MLOps #MachineLearning #ReproducibleML #DVC
On this page of the site you can watch the video online Machine Learning Experiment Tracking with VS Code, Git, and DVC with a duration of hours minute second in good quality, which was uploaded by the user DVCorg 26 July 2023, share the link with friends and acquaintances, this video has already been watched 3,734 times on youtube and it was liked by 69 viewers. Enjoy your viewing!
