Block-Seminar "Classical Topics in Machine Learning"

Termine und Informationen

Kickoff Meeting

Monday 27 November 2017 from 8am to 9am in room H 107

Presentation Days

Thursday-Friday, 22-23 February 2018 from 9am to 7pm in room MAR 4.065


Stefan Chmiela

Kristof Schütt




Wahlpflicht LV im Modul Maschinelles Lernen I (Informatik M.Sc.)


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 is worth 3 LP (3 ECTS credits). In the general case, it is not possible to take the Python course 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.

The topics of the seminar are:

IDA Wiki: Main/WS17_ClassicalTopics (last edited 2017-11-27 12:55:31 by KristofSchuett)