Lehrende: Prof. Dr. Anna Christina Brandt; Prof. Dr. Armin Iske; Dr. Tobias Kluth
Veranstaltungsart: Vorlesung
Anzeige im Stundenplan: M-WR-V
Semesterwochenstunden: 2
Unterrichtssprache: Englisch
Min. | Max. Teilnehmerzahl: - | -
Kommentare/ Inhalte: This course gives a mathematical introduction to machine learning. Participants from all disciplines (with sufficient maths background) are welcome! Topics include (but are not limited to): * Basic concepts from mathematics for machine learning * Dimensionality reduction and manifold learning * Kernel-based learning algorithms * Support vector machines * Data clustering * Variational regularization * Nonsmooth optimization by proximal gradient methods * Classification methods, including binary classification * Neural networks * Network training algorithms * Deep learning in inverse problems
Vorgehen: This course is organized in MIN Moodle. Therefore, all participants are required to register through Moodle at https://lernen.min.uni-hamburg.de/course/view.php?id=1132 by using the enrolment key "ML2021".
Modulkürzel: Ma-M-WR_I, Ma-M-WR_II
