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Mathematics of machine learning SemesterWiSe 2023 / 24 Lecturer Hoang Kim Nguyen, Florian Strunk Type of course (Veranstaltungsart) Vorlesung Contents This course aims to discuss mathematical foundations of machine learning. Possible topics will include probability theory and statistics, information theory as well as optimization. As applications we will discuss classification of data sets and generative ai. The course will first start as lecture on the necessary mathematical topics. Once we have built a solid base, our goal is to develop theory and application in parallel, in particular we will aim to implement the theory in practice. Literature tba Recommended previous knowledge Linear Algebra I and II, Basic probability theory Time/Date Tuesday 10-12 Location M103 (Tuesday) Course homepage https://elearning.uni-regensburg.de/course/view.php?id=63787 (Disclaimer: Dieser Link wurde automatisch erzeugt und ist evtl. extern) Registration
MV ECTS 3 |