## page was renamed from Main/SS19_MLPraktikum
= Lab Course Machine Learning and Data Analysis =

== General Information ==

||'''First meeting'''|| Wednesday, April 29, 2pm via [[https://meet.isis.tu-berlin.de/ISIS019777|meet@ISIS]] ||
||'''Responsible'''|| [[http://www.ml.tu-berlin.de/menue/mitglieder/klaus-robert_mueller/|Prof. Dr. Klaus-Robert Müller]] ||
||'''Contact'''|| Jacob Kauffmann, j.kauffmann@tu-berlin.de ||
||'''Language'''|| Englisch ||
||'''Credit'''|| M.Sc. Modul ||
||'''Course Information'''|| [[https://isis.tu-berlin.de/course/view.php?id=19777|ISIS course page]] ||
||||<rowstyle="background-color: #e00000;">'''''Enrollment closed: course full'''''||

== 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 [[attachment:overview.pdf|PDF overview]] is available.