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

The Classical Topics Seminar is an optional course in the modules "Cognitive Algorithms" and "Machine Learning 1-X". 

In the general case, it is not possible to take the Hot Topics Seminar 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. 

=== Dates and Informations ===

||'''Kickoff Meeting'''|| TBD||
||'''Seminar Days'''|| TBD (in January) ||
||'''Professor'''|| Prof. Dr. Klaus-Robert Müller ||
||'''Docent''' || [[mailto:cognitivealgorithms@ml.tu-berlin.de | Lorenz Vaitl ]] (but please just wait for info in ISIS instead of writing me) ||
||'''Language'''|| English ||
||'''ISIS''' || https://isis.tu-berlin.de/course/view.php?id=21550 ||

This seminar takes a closer look at classical topics in machine learning. "Classical Topics in Machine Learning" is an optional course in the module "Machine Learning 1" and "Cognitive Algorithm" and is worth 3 LP (3 ECTS credits). There is no formal registration for the kick-off meeting. In the general case, '''it is not possible to take the seminar as a standalone course'''.

Students will read, understand, evaluate and present selected research papers on machine learning methods in different applications settings. At the end of the semester, each student will present his/her topic in a 20 min talk (+ questions) in English.
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'''!!!  Important  !!!'''

0. There is no registration possible before the Kickoff Meeting


1. If you take the Cognitive Algorithm Module:
This seminar is part of the Cognitive Algorithm Module and you can take the seminar. 

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