Applied Probability in R




Introduction to Machine Learning




Generalized Linear Models




Support Vector Machines




Random Forests




Principle Components Analysis (PCA)




Graphical Models




Clustering




Bayesian Inference




Mixture Models and Expectation Maximization




How to Datamine Text




How to Analyze a Time Series




Gaussian Processes




HiddenMarkov Models




Neural Nets, Deep Belief Nets




Computer Vision with OpenCV




Reinforcement Learning



