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 * 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.
 * Brain-Computer Interface
 * Applications in Quantum Chemistry
 * Topic Models for Text Processing and Applications in Digital Humanities
 * Medical Image Processing
 * Kernel Methods in Geoscience
 * Bioinformatics

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

(even week) Thursday 08:15-10:00 in room C 130

Tutorial

(odd week) Thursday 08:15-10:00 in room C 130

Language

English

Trainers

Prof. Dr. Klaus-Robert Müller (Responsible)

Sergej Dogadov

Contact

s.dogadov@tu-berlin.de

ISIS

link

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
  • Applications in Quantum Chemistry
  • Topic Models for Text Processing and Applications in Digital Humanities
  • Medical Image Processing
  • Kernel Methods in Geoscience
  • Bioinformatics

IDA Wiki: Main/SS18_ML_in_Sc (last edited 2018-04-18 12:51:13 by SergejDogadov)