Given by Sven Laur and Konstantin Tretyakov
Brief summary: Advantages and drawbacks of machine learning. When is it appropriate to use machine and when knowledge based modelling is more appropriate. overview of standard experiment design. Potential applications and limits of machine learning. Broad classification of machine learning methods. Roadmap for the course.
Slides: Handwritten slides Δ PDF slides