138.128 Machine Learning in Physics

Introducing the "tool" of machine learning and its application to problems in physics. Contents: Optimization problems, gradient descent, Newton's method, Supervised learning, Over-/underfitting, regularization, Linear models, Singular value decomposition, Non-linear models, Logistic regression, Artificial Neural networks, Unsupervised learning, Clustering, Principal component analysis, TISS course: https://tiss.tuwien.ac.at/course/courseDetails.xhtml?courseNr=138128 TUWEL online course: https://tuwel.tuwien.ac.at/course/view.php?idnumber=138128-2021S