Python Programming for Machine Learning

• Course Period:	21.04.2017 - 16.05.2017
  Lectures:	Fridays from 16:15 to 18:00 in room H 0107
  Exercises:	Tuesdays from 14:15 to 18:00 in rooms MAR 6.001, 6.029, 6.057
  Exam:	Wednesday 31.05.2017 from 16:15 to 17:45 in room EB 301
  Language:	English
  Contact	gregoire.montavon@tu-berlin.de
  ISIS:	TBD

Main Topics

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

Additional Topics

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

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 (see above) 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).