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Aktuelle Veranstaltungen
| Machine Learning (Lecture) (CS-BP-NI, CS-BWP-AI, CS-BWP-INF, CS-BWP-NI) |
| Dozent:Prof. Dr.-Ing. Gunther Heidemann, Ulf Krumnack, Ph.D., Lukas Niehaus |
| Veranstaltungstyp:Vorlesung und Seminar (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:93/E31: Di. 14:00 - 16:00 (14x) Mi. 10:00 - 12:00 (13x) Do. 10:00 - 12:00 (13x), 32/110: Donnerstag, 04.07.2024 10:00 - 12:00 |
| Semester:SoSe 2024 |
| Zeiten:Di. 14:00 - 16:00 (wöchentlich) - Übung, Ort: 93/E31,
Mi. 10:00 - 12:00 (wöchentlich) - Vorlesung, Ort: 93/E31,
Do. 10:00 - 12:00 (wöchentlich) - Vorlesung, Ort: 93/E31,
Termine am Donnerstag, 04.07.2024 10:00 - 12:00, Ort: 32/110 Erster Termin:Dienstag, 02.04.2024 14:00 - 16:00, Ort: 93/E31 |
| Veranstaltungsnummer:8.3072 |
| Empfohlenes Semester:ab 4. Semester |
| ECTS-Kreditpunkte:12 |
