Machine Learning 1

General Information

Lectures period

02.11.2020 - 27.02.2021


Mondays, 16:15 - 18:00 (online)


Tuesdays 14:15 - 16:00 (online)


Tuesdays, 16:15 - 17:00 (online)


Wojciech Samek

Grégoire Montavon





Frequently asked questions (FAQ):

* 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).


The following are optional prerequisites which are helpful but not necessary for taking the course:

As a thematic preparation, it is recommended to visit the Python course or the mathematical foundations course which are also accreditable as optional compulsory course parts.


In the lecture, introductory topics in the field of machine learning are presented. After the lecture, the learned methods are revisited and last week's exercises are explained in the exercise session. Both lectures and exercise sessions are held in English.

The scheduled topics are:

IDA Wiki: Main/WS20_MaschinellesLernen1 (last edited 2020-10-23 08:42:08 by SergejDogadov)