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Lab Course Machine Learning and Data Analysis (Praktikum Machinelles Lernen und Datenanalyse)

General Information

First meeting

Tue, 17.04.2018, 10:15am, Room MAR 2.068


Prof. Dr. Klaus-Robert Müller


Jacob Kauffmann, jacob.r.kauffmann@campus.tu-berlin.de




M.Sc. Modul

Course Information


Enrollment closed: course is full

Enrollment / Limited number of participants

If you intend to participate, please send an e-mail to jacob.r.kauffmann@campus.tu-berlin.de with title "Lab Course Machine Learning Enrollment" and this text:

Name: Your name
Matr.Nr: You student ID (Matrikelnummer)
Degree: The degree you are enrolled in and want to use this course for.
TU student: Yes/No (Are you a enrolled as a regular student at TU Berlin?)
Other student: If you are not a regular student, please write your status.
ML1: Yes/No (Did you take the course Machine Learning 1 at TU Berlin?)
Other ML course: If you did not take ML1 at TU Berlin, please write if you took any equivalent course.

Participation spots are mostly assigned on a first come/first serve basis. Please keep in mind that auditing students and Nebenhörer can only participate if less than 40 regular TU students register for the course (http://www.studsek.tu-berlin.de/menue/studierendenverwaltung/gast_und_nebenhoererschaft/parameter/en/).


All information can be found on ISIS: [Link follows soon].

A PDF overview (SS17) will be available.

IDA Wiki: Main/SS18_MLPraktikum (last edited 2018-04-05 09:09:52 by JacobKauffmann)