Practical Course - Applied Machine Learning (IN2106, IN4192)
Course 0000002728 in WS 2023/4
General Data
Course Type | practical training |
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Semester Weekly Hours | 6 SWS |
Organisational Unit | Informatics 26 - Associate Professorship of Data Analytics and Machine Learning (Prof. Günnemann) |
Lecturers |
Nicholas Gao Marten Lienen Jan Schuchardt Tom Wollschläger Responsible/Coordination: Stephan Günnemann |
Dates |
Mon, 16:00–18:00, MI 02.07.014 and 2 singular or moved dates |
Assignment to Modules
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IN2106: Master-Praktikum / Advanced Practical Course
This module is included in the following catalogs:- Further Modules from Other Disciplines
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
additional remarks | This module is offered by many professors and deals with different contents according to their focus in research and teaching. |
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Links |
Course documents E-Learning course (e. g. Moodle) TUMonline entry |