Fachbereich 6 Mathematik/Informatik

Institut für Informatik


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Machine Learning (Practice) (CS-BP-NI, CS-BWP-AI, CS-BWP-INF, CS-BWP-NI)
Dozent:Ulf Krumnack, Ph.D., Prof. Dr.-Ing. Gunther Heidemann, Axel Schaffland, M. Sc.
Veranstaltungstyp:Übung (Offizielle Lehrveranstaltungen)
Beschreibung:Prerequisites: None

Being a mainly academic topic about 20 years ago, Machine Learning has become a discipline of major impact on both science and engineering by today. This course introduces the basics of Machine Learning and Data Mining. Major topics are concept learning, decision trees, problems of data in high dimensional representations, clustering algorithms, linear and nonlinear dimension reduction, artificial neural networks (e.g. multilayer perceptrons, RBF networks, self-organizing maps), classification methods, reinforcement learning, modeling uncertainty and temporal probability models.
Ort:nicht angegeben
Semester:SoSe 2022
Zeiten:Di. 14:00 - 16:00 (wöchentlich)
Erster Termin:Di., 05.04.2022 14:00 - 16:00
Veranstaltungsnummer:8.3433
Empfohlenes Semester:ab 4. Semester
ECTS-Kreditpunkte:4