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| ||'''First meeting'''|| Wednesday, April 20, 2pm '''Room TBA''' || | ||'''First meeting'''|| Wednesday, April 20, 2pm in MAR 4.064 || |
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| ||'''Credit'''|| M.Sc. Modul || ||'''Course Information'''|| ISIS course page (TBD) || |
||'''Credit'''|| M.Sc. module, 9 ECTS || ||'''Course Information'''|| [[https://isis.tu-berlin.de/course/view.php?id=29703|ISIS course page]] || |
Lab Course Machine Learning and Data Analysis
General Information
First meeting |
Wednesday, April 20, 2pm in MAR 4.064 |
Responsible |
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Contact |
Jacob Kauffmann, j.kauffmann@tu-berlin.de |
Language |
English |
Credit |
M.Sc. module, 9 ECTS |
Course Information |
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Enrollment closed: course full |
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Enrollment / Limited number of participants
If you intend to participate, please send an e-mail to j.kauffmann@tu-berlin.de with title "Lab Course Machine Learning Enrollment" and this text:
Name : Your name Matr.Nr : Your 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
A PDF overview is available.