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Courses in winter term 2019 / Mathematics for Machine Learning (pre-course)

This pre-course for the machine learning 1 lecture will review some of the required mathematical basics. The covered topics are Linear Algebra, Calculus, Optimization, Probability Theory and Python programming. The course is based on the identically named e-book Mathematics for Machine Learning by Marc Peter Deisenroth, A. Aldo Faisal and Cheng Soon Ong.

Contact person: Randolf Scholz
Location & Time:
Dates: Oct. 7-11
Time: 9-12
Location: G007