= Maschinelles Lernen - Theorie und Anwendung =

=== General Information ===

Maschinelles Lernen - Theorie und Anwendung is a 9 LP (9 ECTS) credits module.

||'''Lecture period'''|| from 18.04.2016 to 23.07.2016 ||
||'''Lecture'''|| Tuesday 10:15-12:00 ||
||'''Room'''|| MAR 4.064 ||
||'''Exercise session'''|| Tuesday 12:15-14:00 ||
||'''Room'''|| MAR 4.064 ||
||<(^|2>'''Trainers'''||Prof. Dr. Klaus-Robert Müller (Responsible)||
||Gregoire Montavon ||
||'''Contact''' || gregoire.montavon@tu-berlin.de ||
|| '''ISIS''' || https://isis.tu-berlin.de/course/view.php?id=7155  ||

=== Topics ===

 * Embedding
 * Stationary Subspace Analysis
 * Auto-encoders
 * Canonical Correlation Analysis
 * Kernel methods for structured data
 * Neural networks for structured data
 * Structured output learning
 * One-class SVMs
 * Bioinformatics