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Python Programming for Machine Learning

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.

The course will be split in two tracks A and B, with the same content, but held at different times of the week/day. Students can opt for either of these.

Track A is recommended for ML2 ("Maschinelles Lernen - Theorie und Anwendung") students as it has no time conflict with that course.

Course Period:	from 16 April 2018 to 11 Mai 2018
Lectures:	[Track A] Monday 10:15 - 12:00 in EB 301
Lectures:	[Track B] Monday 14:15 - 16:00 in A 053
Exercises:	Tuesday 08:15 - 10:00 in TEL 106li & 206re
	Tuesday 14:15 - 16:00 in TEL 106li
	Tuesday 16:15 - 18:00 in TEL 106li
	Wednesday 08:15 - 10:00 in TEL 106li & 106re
	Friday 08:15 - 10:00 in TEL 106li/re & 206li
	Friday 08:15 - 10:00 in MAR 6.001 & 6.057
Exam:	TBA
Language:	English
Trainers	Sergej Dogadov
Trainers	Philipp Seegerer
Contact	s.dogadov@tu-berlin.de
ISIS:	TBA

Frequently Asked Questions (FAQ)

When does the course start? on Monday 16th April 2018 at 10:15 [Track A] or 14:15 [Track B]
How to register for the course? Pre-registration is not needed.

Main Topics

Python Basics
Numpy / Performance / Plotting
Rounding / Overflow / Linear Algebra
Randomness / Simulation

Additional Topics

Linear Models (Regression, PCA)
Low-Level Extensions (F2PY, cython)

Knowledge of elementary programming concepts will be helpful. Be aware that lack of such knowledge will increase the time demand of the class. In that case, you should consider to prepare with a python beginner class.

Homework is submitted via the ISIS page.

students from other universities

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

print out the forms concerning Nebenhörerschaft you find on that page
pass by at my office (MAR 4.034) to have them signed
in addition, the dean of faculty IV has to sign
register at the the Campus Center. You will receive a TUBIT account (see below).

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-Python Programming for Machine Learning is an optional course in the module "Machine Learning - Theory and Applications" and is worth 3 LP (3 ECTS credits).
+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).