- introduction to supervised learning and Bayesian statistics

- naive Bayes and Markov models for text classification

- Gaussian classifiers, LDA, etc

- Bayesian linear regression

- ridge regression, lasso

- sparse logistic regression

- Gaussian process regression

- Gaussian process classification