Statistical Machine Learning 2016

Vereiste voorkennis

"Wiskunde 1 en 2 voor Kunstmatige Intelligentie" (SOW-BKI316 en SOW-BKI104) or equivalent (basis calculus en lineaire algebra)

Cursus informatie

Half semester course (6 Euro points). Cursus code NWI-NB054E
Format: lectures, practicals
Intended for Master students computer science and artificial intelligence
Lectures: Tuesday 8.45-10.30 in HG00.108. The first lecture is on August 30
Practicals: Thursday 13.45-15.30 in HG00.622 (week 35), HG01.028 (week 36-42), Thursday 8.45-10.30 HG01.028 (week 45-51,2)
Teachers: Bert Kappen en Tom Claassen
Teaching assistants: Dominik Thalmeier and Gabriel Bucur

Material

Christopher Bishop, Pattern Recognition and Machine Learning
slides
Assignments will be communicated through Blackboard.

Examination

Throughout the course, there will be 4 assignments that test your knowledge up to that point in the course. The final grade is a weighted average of the final exam (2/3) and the 4 assignments (1/3). The final exam must be 5 or higher in order to pass.