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| __Update Apr 11:__ We do not accept further registrations for this course. The course has a a limit of --(10)-- 15 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: |
(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: |
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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 |
Responsible |
|
Contact |
Jacob Kauffmann <mailto:jacob.r.kauffmann@campus.tu-berlin.de> |
Language |
Englisch |
Credit |
M.Sc. Modul |
Course Information |
TBA |
Enrollment / Limited number of 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: https://isis.tu-berlin.de/course/view.php?id=9506. A PDF overview will be available.