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Machine Learning (Lecture) (CS-BP-NI, CS-BWP-AI, CS-BWP-INF, CS-BWP-NI)
8.3072
Dozenten
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.
Weitere Angaben
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
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
Veranstaltungsart: Vorlesung und Seminar (Offizielle Lehrveranstaltungen)
Studienbereiche
- Cognitive Science > Bachelor-Programm
- Cognitive Science > Master-Programm
- Schnupper Uni > Cognitive Science
- Human Sciences (e.g. Cognitive Science, Psychology)
- Cognitive Science