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The course has a a limit of 10 participants. If you intend to participate, please The course has a a limit of 10 participants. If you intend to participate, please send an e-mail to felix.brockherde@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 10 regular TU students register for the course (http://www.studsek.tu-berlin.de/menue/studierendenverwaltung/gast_und_nebenhoererschaft/parameter/en/).

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

General Information

First meeting

Thu, 20.04.2017, 10:15am, Room MAR 4.063

Responsible

Prof. Dr. Klaus-Robert Müller

Contact

Felix Brockherde <felix.brockherde@tu-berlin.de>

Language

Englisch

Credit

M.Sc. Modul

Course Information

tba

First Meeting

Our first meeting is Thu 20 Apr 2017 at 10.15am in Room MAR 4.063.

Enrollment / Limited number of participants

The course has a a limit of 10 participants. If you intend to participate, please send an e-mail to felix.brockherde@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 10 regular TU students register for the course (http://www.studsek.tu-berlin.de/menue/studierendenverwaltung/gast_und_nebenhoererschaft/parameter/en/).

Description

All information can be found on ISIS: tba. A PDF overview is available.

IDA Wiki: Main/SS17_MLPraktikum (last edited 2017-04-11 10:11:23 by FelixBrockherde)