Machine Learning 2-X

General Information

Machine Learning 2-X is a 9 LP (9 ECTS) credits module.

Lecture period



Thursdays 14:00-16:00 in H 2053

Exercise session

Thursdays 16:00-18:00 in H 2053




Prof. Dr. Klaus-Robert Müller (Responsible)

Gregoire Montavon



Frequently asked questions (FAQ):

How many credits for this course? 6 ECTS if taken as a standalone course. 9 ECTS if taking the whole module (i.e. including an optional course, see below for a list).

Is it possible to take this course without having taken ML1? Yes, ML1 is not a formal prerequisite. However, methods learned in ML1 will be assumed to be known, and extra work might therefore be needed during the first few weeks.

I am from a different university, can I take this course? If you are not a student at TU and want to earn credit, you have to solicit ''Nebenhörerschaft'': (1) Print out the forms concerning Nebenhörerschaft you find on that page. (2) Pass by at my office (see above) to have them signed, or bring your forms during the first lecture. (3) In addition, the dean of faculty IV has to sign. (4) Register at the the Campus Center. You will receive a TUBIT account (see below).


List of optional courses

IDA Wiki: Main/SS19_ML2 (last edited 2019-04-04 23:21:14 by GrégoireMontavon)