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Machine Learning (IN2064)

Course 0000001653 in WS 2022/3

General Data

Course Type lecture with integrated exercises
Semester Weekly Hours 6 SWS
Organisational Unit Informatics 26 - Associate Professorship of Data Analytics and Machine Learning (Prof. Günnemann)
Lecturers Marin Bilos
Nicholas Gao
Simon Geisler
Lukas Gosch
Stephan Günnemann
Jan Schuchardt
Johanna Sommer
Dates 37 singular or moved dates

Assignment to Modules

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 - k-Nearest Neighbors - Decision Trees - Probabilistic Inference - Linear Regression - Linear Classification - Optimization - Support Vector Machines - Deep Learning - Dimensionality Reduction - Mixture Models - Clustering
Links E-Learning course (e. g. Moodle)
TUMonline entry

Equivalent Courses (e. g. in other semesters)

SemesterTitleLecturersDates
WS 2021/2 Machine Learning (IN2064) Bilos, M. Charpentier, B. Geisler, S. Günnemann, S. Schuchardt, J. … (total 6) Tue, 12:15–13:45
Wed, 16:00–19:00
Mon, 10:00–12:00
WS 2020/1 Machine Learning (IN2064) Gasteiger, J. Günnemann, S. Lienen, M. Shchur, O. Tue, 12:15–13:45, virtuell
Wed, 16:00–19:00, virtuell
Mon, 10:00–12:00, virtuell
WS 2019/20 Machine Learning (IN2064) Günnemann, S. Shchur, O. Tue, 12:15–13:45, MW 0001
Wed, 16:00–19:00, MI HS1
Mon, 10:00–12:00, MW 2001
WS 2018/9 Machine Learning (IN2064) Günnemann, S. Shchur, O. Tue, 12:15–13:45, MW 0001
Wed, 12:00–14:00, MI 02.11.018
Wed, 16:00–19:00, MI HS1
Mon, 10:00–12:00, MW 0001
and singular or moved dates
WS 2017/8 Machine Learning (IN2064) Groh, G. Günnemann, S. Shchur, O. Tue, 12:00–14:00, MW 0001
Thu, 08:00–10:00, MI 00.08.059
Mon, 10:00–12:00, MW 0001
Wed, 16:00–19:00, MI HS1
and singular or moved dates
WS 2016/7 Machine Learning (IN2064) Groh, G. van der Smagt, P. Tue, 10:00–13:00, MW 0001
Wed, 16:00–19:00, Interims I 102
and singular or moved dates
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