Seminar Course - Current Trends in Machine Learning (IN2107, IN4515)
Course 0000000295 in WS 2014/5
General Data
| Course Type | seminar |
|---|---|
| Semester Weekly Hours | 2 SWS |
| Organisational Unit | Informatics 9 - Chair of Computer Vision and Artificial Intelligence (Prof. Cremers) |
| Lecturers | |
| Dates |
Assignment to Modules
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IN2183: CSE Seminar Scientific Computing / CSE Seminar Course Scientific Computing
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 | Machine Learning studies computational methods that find patterns in structured data. In this seminar we will discuss current trends in machine learning, including applications in robotics, signal processing (e.g. blind source separation), recommender systems and time varying data. Every student picks a recent research paper on machine learning that he presents in the seminar. |
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| Links | TUMonline entry |
Equivalent Courses (e. g. in other semesters)
| Semester | Title | Lecturers | Dates |
|---|---|---|---|
| SS 2018 | Seminar Course - Current Trends in Deep Learning (IN2107, IN4515) |
Häfner, B.
Responsible/Coordination: Cremers, D. |
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| WS 2013/4 | Seminar Course - Current Trends in Machine Learning (IN2107, IN4515) | ||
| WS 2012/3 | Seminar Course - Current Trends in Machine Learning (IN2107, IN4515) |