== Beginners Workshop Machine Learning ==

The workshop takes place during the semester break and is 2 weeks long.
 || '''From:''' || Jul 29, 2019 ||
 || '''To:''' || Aug 09, 2019||
 || '''Lecture time:''' || 8:00 - 18:00 ||
 || '''Exam:''' ||  Aug 19, 2019 (presumably) ||
 || '''Room:''' || A 060 ||
 || '''Organisation:''' || Seulki Yeom: yeom@tu-berlin.de, Philipp Seegerer: philipp.seegerer@tu-berlin.de, David Lassner: lassner@tu-berlin.de ||
 ||'''Language'''|| English ||
 ||'''Application deadline'''|| June 01, 2019 ||


== Enrollment / Limited number of participants ==

If you intend to participate, please send an e-mail to yeom@tu-berlin.de or philipp.seegerer@tu-berlin.de 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 (http://www.studsek.tu-berlin.de/menue/studierendenverwaltung/gast_und_nebenhoererschaft/parameter/en/). Your participation will be confirmed soon after the application deadline.

Workshop topics include:

1. Math and Python recap

2. Machine learning basics

3. Clustering

4. Classical and linear methods

5. Bayesian learning

6. Support vector machines

7. Kernels

8. Neural networks