= Machine Learning in the Sciences =

Machine Learning in the Sciences is an optional course in the module "Machine Learning - Theory and Applications" and is worth 3 LP (3 ECTS credits).

In the general case, it is not possible to take the Machine Learning in the Sciences course as a standalone course. There are possible exceptions to this (e.g. it complements another ML or related course you are taking in parallel). In that case, a special request needs to be made. 

=== General Information (preliminary) ===

||'''Lecture period'''|| from 26 April 2019 to 26 July 2019 ||
||'''Lecture'''|| (odd week) Friday 14:15-16:00 in room MAR 0.011 ||
||'''Tutorial'''||(even week) Friday 14:15-16:00 in room MAR 0.011 ||
||'''Language'''|| English ||
||<(^|4>'''Trainers'''||Prof. Dr. Klaus-Robert Müller (Responsible)||
||Dr. Marina Vidovic ||
|| Philipp Seegerer ||
||Sergej Dogadov ||
||'''Contact''' || s.dogadov@tu-berlin.de ||
|| '''ISIS''' || [[ https://isis.tu-berlin.de/course/view.php?id=15475 | link ]]  ||

=== Frequently Asked Questions (FAQ) ===

 * When does the course start? On Thursday 19 April 2019
 * How to register for the course? Pre-registration is not needed.

=== Main Topics ===

 * Brain-Computer Interface 
 * Applications in Quantum Chemistry 
 * Topic Models for Text Processing and Applications in Digital Humanities
 * Medical Image Processing 
 * Kernel Methods in Geoscience 
 * Bioinformatics