Slides
Notes
These are best read in order!
- Learning without noise
- Learning with noise
- Maximum Likelihood Estimation
- Test set to compute out-of-sample risk
- Validation and Cross Validation
- Regularization
Readings
- Chapter 1 of Machine Learning, a probabilistic perspective, available here