WS 2011/2012 (310003) Machine Learning: Basic Course Lecture and Tutorial Prof. Dr. Laurenz Wiskott

Lecture (2 SWS, 2 credit points): Tuesdays 12:00-13:30 o'clock in the larger INI seminar room NB 3/57. First time 11.10.2011.
Tutorial (2 SWS, 4 credit points): Tuesdays 10:15-11:45 o'clock in the larger INI seminar room NB 3/57. First time 18.10.2011.

Description: This course covers a variety of unsupervised and supervised methods from machine learning such as principal component analysis, independent component analysis, vector quantization, clustering, self-organizing maps, growing neural gas, Bayesian theory and graphical models, support vector machines, optimization.

Language: The course will be given in English upon request.

Literature: For many topics a script will be available.

Prerequisites: Good command of linear algebra and calculus.

Schedule: See schedule of last year to get an idea of the content.