Slides
Notes
These are best read in order!
- Significance and Size
- Learning without noise
- Learning with noise
- Test set to compute out-of-sample risk
- Validation and Cross Validation
- Regularization
- Jensen’s Inequality about convex functions
- Divergence and Deviance
- Understanding AIC
Readings
- Chapter 1 of Machine Learning, a probabilistic perspective, available here