ML Experimentation with DVC and VS Code
Offered By: Toronto Machine Learning Series (TMLS) via YouTube
Course Description
Overview
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)
Related Courses
The Data Scientist’s ToolboxJohns Hopkins University via Coursera How to Use Git and GitHub
Udacity Ruby on Rails: An Introduction
Johns Hopkins University via Coursera Accediendo a la nube con iOS
Tecnológico de Monterrey via Coursera Responsive Website Development and Design Capstone
University of London International Programmes via Coursera