Mathematical Foundations of Machine Learning
Course 0000005476 in SS 2021
General Data
| Course Type | lecture |
|---|---|
| Semester Weekly Hours | 2 SWS |
| Organisational Unit | Research Department Mathematics Centre |
| Lecturers |
Markus Hasenöhrl Michael Marc Wolf |
| Dates |
Mon, 10:15–11:45, virtuell |
Assignment to Modules
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MA4801: Mathematische Grundlagen des Maschinenlernens / Mathematical Foundations of Machine Learning
This module is included in the following catalogs:- Specialization Modules in Elite-Master Program Theoretical and Mathematical Physics (TMP)
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 | The course will provide an introduction to the mathematical foundations of learning theory and neural networks. If time allows, we will also look into kernel methods. |
|---|---|
| Links |
Course documents E-Learning course (e. g. Moodle) TUMonline entry |
Equivalent Courses (e. g. in other semesters)
| Semester | Title | Lecturers | Dates |
|---|---|---|---|
| SS 2020 | Mathematical Foundations of Machine Learning | Caro, M. Wolf, M. |
Mon, 10:15–11:45, virtuell |
| SS 2018 | Mathematical Foundations of Machine Learning | Wolf, M. |
Wed, 12:15–13:45, LMU-HS |
| SS 2016 | Mathematical Foundations of Machine Learning | Wolf, M. |