How to Automate Machine Learning with GitHub Actions
Offered By: Toronto Machine Learning Series (TMLS) via YouTube
Course Description
Overview
Learn how to leverage GitHub Actions for automating machine learning workflows in this insightful conference talk by Elle O'Brien, Data Scientist at Iterative.ai. Discover techniques for writing custom GitHub Actions that automatically train, test, and report on machine learning models. Gain valuable insights into why automation is crucial for accelerating development cycles and expediting the deployment of models into production environments. Explore practical strategies for streamlining your machine learning processes and enhancing overall efficiency in model development and deployment.
Syllabus
How to automate machine learning with GitHub Actions
Taught by
Toronto Machine Learning Series (TMLS)
Related Courses
Machine Learning Operations (MLOps): Getting StartedGoogle Cloud via Coursera Проектирование и реализация систем машинного обучения
Higher School of Economics via Coursera Demystifying Machine Learning Operations (MLOps)
Pluralsight Machine Learning Engineer with Microsoft Azure
Microsoft via Udacity Machine Learning Engineering for Production (MLOps)
DeepLearning.AI via Coursera