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 58-minute talk by Elle O'Brien, Data Scientist at Iterative.ai. Discover techniques for writing custom GitHub Actions to streamline the training, testing, and reporting of machine learning models. Explore the importance of automation in accelerating development cycles and expediting the deployment of models into production environments. Gain valuable insights into enhancing efficiency and productivity in machine learning projects through the power of automation.
Syllabus
How to automate machine learning with GitHub Actions
Taught by
Toronto Machine Learning Series (TMLS)
Related Courses
How Google does Machine Learning en EspañolGoogle Cloud via Coursera Creating Custom Callbacks in Keras
Coursera Project Network via Coursera Automatic Machine Learning with H2O AutoML and Python
Coursera Project Network via Coursera AI in Healthcare Capstone
Stanford University via Coursera AutoML con Pycaret y TPOT
Coursera Project Network via Coursera