Differences between revisions 2 and 3
Revision 2 as of 2019-02-19 11:06:13
Size: 1801
Comment:
Revision 3 as of 2019-04-01 07:14:18
Size: 1776
Comment:
Deletions are marked like this. Additions are marked like this.
Line 3: Line 3:
The workshop takes place during the semester break (presumably in September 2019) and is 2 weeks long. Exact dates are to be announced.
 || '''From:''' || TBA ||
 || '''To:''' || TBA||
The workshop takes place during the semester break and is 2 weeks long.
 || '''From:''' || Jul 29, 2019 ||
 || '''To:''' || Aug 02, 2019||
Line 7: Line 7:
 || '''Exam:''' || TBA||  || '''Exam:''' || Aug 19, 2019 (presumably) ||
Line 11: Line 11:
 ||'''Application deadline'''|| June 16th, 2019 ||  ||'''Application deadline'''|| June 01, 2019 ||

Beginners Workshop Machine Learning

The workshop takes place during the semester break and is 2 weeks long.

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/).

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

IDA Wiki: Main/SS19_BeWo (last edited 2019-06-14 16:34:09 by SergejDogadov)