Vorlesung und Übung: Machine Learning (Lecture + Practice) - Details

Vorlesung und Übung: Machine Learning (Lecture + Practice) - Details

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General information

Course name Vorlesung und Übung: Machine Learning (Lecture + Practice)
Subtitle
Course number 8.3072
Semester SoSe 2019
Current number of participants 191
Home institute LE Cognitive Science
Courses type Vorlesung und Übung in category Offizielle Lehrveranstaltungen
First date Tuesday, 02.04.2019 14:00 - 16:00, Room: 66/E33
Type/Form
Participants ab 4. Semester
SWS 6
Sprache Englisch
ECTS points 12

Rooms and times

66/E33
Tuesday: 14:00 - 16:00, weekly (14x)
32/102
Wednesday: 10:00 - 12:00, weekly (13x)
66/E34
Thursday: 12:00 - 14:00, weekly (13x)

Comment/Description

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.

Admission settings

The course is part of admission "Anmeldung gesperrt (global)".
The following rules apply for the admission:
  • Admission locked.