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| * Brain-Computer Interface * Medical Image Processing * Kernel Methods in Geoscience * Matrix Factorization Methods * Topic Models for Text Processing * Applications in Digital Humanities and Quantum Chemistry |
* Brain-Computer Interface 19.04. * Matrix Factorization Methods 03.05. * Topic Models for Text Processing and Applications in Digital Humanities 17.05. * Kernel Methods in Geoscience 31.05. * Medical Image Processing 14.06 * Applications in Quantum Chemistry 28.06. |
Machine Learning in the Sciences
Machine Learning in the Sciences is an optional course in the module "Machine Learning - Theory and Applications" and is worth 3 LP (3 ECTS credits).
In the general case, it is not possible to take the Machine Learning in the Sciences course as a standalone course. There are possible exceptions to this (e.g. it complements another ML or related course you are taking in parallel). In that case, a special request needs to be made.
General Information (preliminary)
Lecture period |
from 19 April 2018 to 12 July 2018 |
Lecture |
Thursday 08:15-10:00 in room MAR 4.064 |
Language |
English |
Trainers |
Prof. Dr. Klaus-Robert Müller (Responsible) |
Sergej Dogadov |
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Contact |
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ISIS |
TBA |
Frequently Asked Questions (FAQ)
- When does the course start? On Thursday 19 April 2018
- How to register for the course? Pre-registration is not needed.
Main Topics
- Brain-Computer Interface 19.04.
- Matrix Factorization Methods 03.05.
- Topic Models for Text Processing and Applications in Digital Humanities 17.05.
- Kernel Methods in Geoscience 31.05.
- Medical Image Processing 14.06
- Applications in Quantum Chemistry 28.06.