- Confidence calibration tutorial
- k-means algorithm
- Mixture of Gaussians (MoG)
- Principal component analysis (PCA) slides
- Linear discriminant analysis (LDA)
- Hidden Markov Model (HMM) slides
- Factor Analysis
- Linear dynamical systems (LDS) slides
- Non-Linear dynamical systems
- Markov random fields (MRF) slides
- Factor graphs
- Belief propagation algorithm
- Expectation-Maximization (EM) algorithm slides
- Variational AutoEncoder (VAE)
- Logistic regression slides
- Conditional random field (CRF) slides
- Restricted Boltzmann machines (RBM)