Lectures
All lectures will be held on Mondays at 16:15 Liivi-512
- 10.02: Association rules and decision trees
- 17.02: Linear models and polynomial interpolation
- 10.03: Performance evaluation measures
- 09.03: Introduction to optimization
- 16.03: Linear classification
- 23.03: Neural networks
- 30.03: Basics of probabilistic modelling
- 06.04: Maximum likelihood and maximum a posteriori estimates
- 13.04: Principal Component Analysis
- 20.04: Model-based clustering
- 04.05: Expectation-maximisation algorithm
- 11.05: Support Vector Machines
- 18.05: Elements of Statistical Learning Theory
- 25.05: Kernel Methods