732A33 Data Mining and Statistical Learning

Timetable

The timetable for the first part of the course is available in TimeEdit, click here. The first session is on 3 August at 10.15 in John von Neumann.

Lecture topics (one topic=one lecture):

1. Introduction to Data Mining and Statistical Learning. SAS Enterprise Miner.
2. Ordinaly least squares regression and shrinkage methods
3. Methods using derived input directions. Cross-validation
4. Logistic regression and linear discriminant analysis
5. Basis expansion and splines
6. Kernel methods
7. Generalized additive models & Trees
8. Neural networks-1
9. Neural networks-2
10. Support vector machines. Bagging and boosting
11. Bayesian methods in Data Mining
12. A selected advanced data mining topic

Page responsible: Oleg Sysoev
Last updated: 2012-08-09