Universität Osnabrück
Lecture: 8.3072 Machine Learning (Lecture) (CS-BP-NI, CS-BWP-AI, CS-BWP-INF, CS-BWP-NI) - Details
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General information

Course name Lecture: 8.3072 Machine Learning (Lecture) (CS-BP-NI, CS-BWP-AI, CS-BWP-INF, CS-BWP-NI)
Course number 8.3072
Semester SoSe 2021
Current number of participants 158
Home institute LE Cognitive Science
Courses type Lecture in category Offizielle Lehrveranstaltungen
First date Tue., 13.04.2021 14:00 - 16:00, Room: (See StudIP course "Exercises: Machine Learning (Practice)")
Participants ab 4. Semester
Sprache Englisch
Contact Hours 4
ECTS points 8

Course location / Course dates

35/E01 Tue.. 14:00 - 16:00 (13x)
Wed.. 10:00 - 12:00 (14x)
(See StudIP course "Exercises: Machine Learning (Practice)") Tuesday: 14:00 - 16:00, weekly (1x)
32/102 Thu.. 10:00 - 12:00 (13x)

Module assignments


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:
  • The admission is locked.