== Block-Seminar "Hot Topics in Machine Learning" ==

The Hot Topics Seminar is an elective course in the module Machine Learning 2-X is worth 3 LP (3 ECTS credits). 

In general, it is not possible to take the Hot Topics Seminar as a standalone course.

=== Dates and Informations ===

||'''Kickoff Meeting'''|| 16.05.2022 from 15:00 to 16:00 ||
||'''Seminar Days'''||  04.07.2022 from 09:00 to 14:00 and 05.07.2022 from 09:00 to 14:00 ||
||'''Docent''' || Grégoire Montavon ||
||'''Language'''|| English ||
||'''ISIS''' || https://isis.tu-berlin.de/course/view.php?id=29328 ||

This seminar takes a closer look at a mix of hot topics in machine learning including, but not limited to: Deep Learning, Explainable AI, Kernels, Reinforcement Learning, Applications of Machine Learning.