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Size: 1743
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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/). | 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 30 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 |
Tue, 17.04.2018, 10:15am, Room MAR 2.068 |
Responsible |
|
Contact |
Jacob Kauffmann, jacob.r.kauffmann@campus.tu-berlin.de |
Language |
Englisch |
Credit |
M.Sc. Modul |
Course Information |
TBA |
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 30 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: [Link follows soon].
A PDF overview (SS17) will be available.