Beginners Workshop Machine Learning

Enrollment / Limited number of participants

If you intend to participate, please send an e-mail to with title "Beginners Workshop 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 random basis. Please keep in mind that auditing students and Nebenhörer can only participate if less than the maximum number of regular TU students register for the course (

(temporary) Workshop Lecture topics are:

1. Clustering, mixtures, density estimation

2. Manifold learning

3. Bayesian Methods

4. Classical and linear methods

5. Support Vector Machine

6. Kernels

7. Neural Networks

IDA Wiki: Main/SS18_BeginnersWorkshop (last edited 2018-08-20 13:41:28 by PhilippSeegerer)