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General notes on ipython and seaborn
Lab 2 - Bayesian concept learning
Lab 4 - Gaussian process regression
Lab 5 - Large-scale Gaussian process regression
Lab 6 - Expectation maximization
Lab 8 - localization with particle filters
Lab 9 - LDA, wikipedia, and Gibbs sampling
Lab 10 - improved generative images with MCMC
Lab 11 - Bayesian super resolution
Old labs we probably won't use