Machine Learning in Meteorology

The course will start with two introductory lectures into machine learning and an overview on various applications in the broad field of meteorology. Each student will be assigned an actual machine learning science problem on which they will work during the semester with regular exchange with the supervisors. The course will have an interim and a final presentation, as well as a write-up of the results of each of the projects.

The first session will be held on 06.04. from 11-13:00 in room 3.137.