= 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'''|| [[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'''|| TBA || ||||'''''Enrollment closed: course is 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 == All information can be found on ISIS: [Link follows soon]. A [[https://tubcloud.tu-berlin.de/s/FTL2vsJWcQWlZZI|PDF overview (SS17)]] will be available.