Einführung in Maschinelles Lernen für PhysikerInnen WS23/24

Introduction to machine learning  for master students and advanced Bsc students with computing experience.Understanding of Concepts and hands-on experience with simple problems.

Topics covered:

Basic Concepts
Boosted Decision Trees, Neural Networks,  Deep Learning, Learning Algorithms
Advanced Concepts:
Adversarial learning, Autoencoders,  generative models