Labs in the Heidelberg area make leading contributions to the theory and practice of machine learning, pattern recognition and artificial intelligence. Below is a summary of pertinent courses and activities in the area. Please follow the links to learn more about contents and prerequisites. Enjoy! ![Logos](/sites/default/files/node/images/513154892/logos_trans_neu.png) #
M. Hindmarsh, M. Lüben, J. Lumma, and M. Pauly. (2020)cite arxiv:2008.09136Comment: Introduction to the topic of phase transitions in the early universe, 63 pages.
A. Green. (2021)cite arxiv:2109.05854Comment: 35 pages, 3 figures. Submitted to SciPost Physics Lecture Notes, Les Houches Summer School Series, v2: minor changes.