Unsupervised Learning
Dimension Reduction
Data Clustering Techniques
Generative Graphical Models
of Graphical Models
Markov Chains and Monte Carlo Simulation
Markov Random Fields and Gibbs Sampling
Hidden Markov Models
Inference and Learning for General Graphical Models
Discriminative Graphical Models
Maximum Entropy Model and Conditional Random Field
Max-Margin Classifications.