Foundations of Learning
A 15-module path through foundations of learning, in study order from foundations to the frontier.
Modules
- What Is Machine Learning
- Types of Learning: Supervised, Unsupervised, Reinforcement
- The Formal Learning Problem
- Hypothesis Spaces
- Training Error vs Test Error
- Generalization
- Overfitting and Underfitting
- The Curse of Dimensionality
- Regularization
- Cross-Validation
- Model Selection
- Evaluation Metrics for Classification
- Confusion Matrices
- ROC Curves and AUC
- Maximum Likelihood and MAP Estimation