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ML Experimentation with DVC and VS Code

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

Tags

Data Science Courses Machine Learning Courses Visual Studio Code Courses Version Control Courses MLOps Courses Experiment Tracking Courses DVC Courses

Course Description

Overview

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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.

Syllabus

ML Experimentation with DVC and VS Code


Taught by

Toronto Machine Learning Series (TMLS)

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