## page was renamed from Main/SS19_MLPraktikum = Lab Course Machine Learning and Data Analysis = == General Information == ||'''First meeting'''|| Thursday, 20.04.2023, 10:15 AM, Room MA550. || ||'''Responsible'''|| [[http://www.ml.tu-berlin.de/menue/mitglieder/klaus-robert_mueller/|Prof. Dr. Klaus-Robert Müller]] || ||'''Contact'''|| Ludwig Winkler winkler@tu-berlin.de, Mina Jamshidi-Idaji mina.jamshidi.idaji@tu-berlin.de, and Farnoush Rezaei-Jafari rezaeijafari@campus.tu-berlin.de|| ||'''Language'''|| English || ||'''Credit'''|| M.Sc. module, 9 ECTS || ||'''Course Information'''|| [[https://isis.tu-berlin.de/course/view.php?id=29703|ISIS course page]] || ||||'''''Enrollment closed''''' (course is full)|| /* ||||'''''Enrollment open''''' || */ == Enrollment / Limited number of participants == If you intend to participate, please send an e-mail to winkler@tu-berlin.de, mina.jamshidi.idaji@tu-berlin.de, and rezaeijafari@campus.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.