Python Programming for Machine Learning (online class)

Python Programming for Machine Learning is an optional course in the modules "Machine Learning 1", "Cognitive Algorithms" and "Machine Learning - Theory and Applications" and is worth 3 LP (3 ECTS credits).

In the general case, it is not possible to take the Python course as a standalone course. There are possible exceptions to this (e.g. it complements another ML or related course you are taking in parallel). In that case, a special request needs to be made.

Participation in the exercise sessions is not mandatory but highly recommended. However, homework assignments have to be submitted every week.

Important information: Since the first homework has to be submitted by Tuesday Apr 28th till 23:55, you have to enroll already by Thursday, Apr 23d 2020 for the ISIS course and a group. Otherwise, you will not be able to submit the homeworks.

• Course Period:	from April 21, 2020 to May 26, 2020
  Lectures:	Tuesday 16:15 - 17:45 in TBA
  Exercises	Thursday 10:15 - 11:45 TBA
  	Thursday 12:15 - 13:45 TBA
  Test:	Tuesday May 14, 2019, 14:00 - 16:00 TBA
  Language:	English
  Trainers	Sergej Dogadov
  	Philine Thalia Görzig
  	Panagiotis Tomer Karagiannis
  Contact	s.dogadov@tu-berlin.de
  	PyML class: https://isis.tu-berlin.de/course/view.php?id=19584

Frequently Asked Questions (FAQ)

• When does the course start? On Tuesday April 21st, 2020 at 16:15

• How to find a link for the classes? Links for the online lectures and exercises will be announced on the PyML class web page.

• How to register for the course? Pre-registration via exam registration office is not needed. However, register for the ISIS course in time (see above) to be able to submit the exercises.

Knowledge of elementary programming concepts will be helpful. Be aware that lack of such knowledge will increase the time demand of the class.

Homework is submitted via ISIS (see above), therefore you have to register there.

Students from other universities

If you are not a student at TU and want to earn credit, you have to solicit ''Nebenhörerschaft'':

• Information about how to get the form signed will be announced soon...