Organization
Content
- Statistical methods in machine learning
- Statistics, optimization, and linear algebra
- Bayesian decision theory
- Density estimation
- Non-parametric models
- Mixture models and the EM-algorithm
- Linear models for classification and regression
- Statistical learning theory
- Kernel methods for classification and regression