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Lecture: Introduction to Machine Learning 2017

Lecture offered jointly together with Dr. Joschka Bödecker, Dr. Frank Hutter. Various topics will be covered such as 

  1. preprocessing
  2. feature extraction/ encoding
  3. feature selection
  4. machine learning methods (linear and non-linear methods)
  5. evaluation & model-selection
  6. post-processing

The e-learning materials of the course (videos, assignments, forums, Wiki) can be found in Illias.