Lecture 13 - Debugging ML Models and Error Analysis | Stanford CS229: Machine Learning (Autumn 2018)

Similar Tracks
Lecture 14 - Expectation-Maximization Algorithms | Stanford CS229: Machine Learning (Autumn 2018)
Stanford Online
Lecture 11 - Introduction to Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)
Stanford Online
Model Based Reinforcement Learning: Policy Iteration, Value Iteration, and Dynamic Programming
Steve Brunton
Lecture 10 - Decision Trees and Ensemble Methods | Stanford CS229: Machine Learning (Autumn 2018)
Stanford Online
Lecture 8 - Data Splits, Models & Cross-Validation | Stanford CS229: Machine Learning (Autumn 2018)
Stanford Online