After successful completion of the course, students are able to...
Supplementary chapters on the theory of fundamental interactions (particle physics, gravitation and cosmology).
Topic 2019/20: Machine Learning for Physicists
Main source:A high-bias, low-variance introduction to Machine Learning for physicists by Pankaj Mehta et al. https://arxiv.org/abs/1803.08823
Additional sources:Machine Learning for Physicists by Florian Marquardt https://machine-learning-for-physicists.org/
Presentation of a topic in a lecture.
2019/20: if appropriate, design and distribution of sample code for the other participants of the LVA.
First meeting: Thursday, October 3, 2019, 2:15 p.m., seminar room DB gelb 10
New room: Thursday, 2:15 p.m., seminar room DB grün 30A
Blackboard presentation on a topic
