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Instructors: Prof. Dr. Anna Christina Brandt; Prof. Dr. Armin Iske; Dr. Tobias Kluth
Event type:
Lecture
Displayed in timetable as:
M-WR-V
Hours per week:
2
Language of instruction:
English
Min. | Max. participants:
- | -
Comments/contents:
This course gives a mathematical introduction to machine learning.
Participants from all disciplines (with sufficient maths background) are welcome!
Topics include (but are not limited to):
* Basic concepts from mathematics for machine learning
* Dimensionality reduction and manifold learning
* Kernel-based learning algorithms
* Support vector machines
* Data clustering
* Variational regularization
* Nonsmooth optimization by proximal gradient methods
* Classification methods, including binary classification
* Neural networks
* Network training algorithms
* Deep learning in inverse problems
Didactic concept:
This course is organized in MIN Moodle. Therefore, all participants are required to register through Moodle at
https://lernen.min.uni-hamburg.de/course/view.php?id=1132
by using the enrolment key "ML2021".
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