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Machine Learning (Lecture) (CS-BP-NI, CS-BWP-AI, CS-BWP-INF, CS-BWP-NI) |
Dozent:Prof. Dr.-Ing. Gunther Heidemann |
Veranstaltungstyp:Vorlesung (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:01/E01: Mi. 10:00 - 12:00 (12x) Do. 10:00 - 12:00 (12x), 01/B01: Mi. 10:00 - 12:00 (1x) Freitag, 17.04.2020 10:00 - 12:00, Freitag, 17.04.2020 14:00 - 16:00, Montag, 20.04.2020 10:00 - 12:00, Montag, 20.04.2020 14:00 - 16:00 |
Semester:SoSe 2020 |
Zeiten:Mi. 10:00 - 12:00 (wöchentlich), Ort: 01/E01, 01/B01,
Do. 10:00 - 12:00 (wöchentlich), Ort: 01/E01,
Termine am Freitag, 17.04.2020 10:00 - 12:00, Freitag, 17.04.2020 14:00 - 16:00, Montag, 20.04.2020 10:00 - 12:00, Montag, 20.04.2020 14:00 - 16:00, Ort: 01/B01 Erster Termin:Mittwoch, 15.04.2020 10:00 - 12:00, Ort: 01/E01 |
Veranstaltungsnummer:8.3072 |
Empfohlenes Semester:ab 4. Semester |
ECTS-Kreditpunkte:8 |