This is an old revision of the document!
General notes on ipython and seaborn
Lab 2 - sampling and likelihood
Lab 4 - Gaussian process regression
Lab 6 - Bayesian Concept Learning
Lab 8 - localization with particle filters
Lab 9 - LDA, wikipedia, and Gibbs sampling
Lab 10 - improved generative images with MCMC