Exercises: Machine Learning (Practice) (CS-BP-NI, CS-BWP-AI, CS-BWP-INF, CS-BWP-NI) - Details

Exercises: Machine Learning (Practice) (CS-BP-NI, CS-BWP-AI, CS-BWP-INF, CS-BWP-NI) - Details

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General information

Course name Exercises: Machine Learning (Practice) (CS-BP-NI, CS-BWP-AI, CS-BWP-INF, CS-BWP-NI)
Subtitle
Course number 8.3433
Semester SoSe 2021
Current number of participants 166
Home institute LE Cognitive Science
Courses type Exercises in category Offizielle Lehrveranstaltungen
First date Tuesday, 13.04.2021 14:00 - 16:00, Room: (online)
Type/Form Onlineveranstaltung
Participants ab 4. Semester
SWS 2
Sprache Englisch
ECTS points 4

Rooms and times

(online)
Tuesday: 14:00 - 16:00, weekly (1x)
No room preference
Tuesday: 14:00 - 16:00, weekly

Module assignments

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.