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WORKSHOP

Machine Learning 
in the Climate Sciences

10th - 11th  September 2019

Regional Computing Centre (RRZK)
University of Cologne
Weyertal 121
50931 Köln

The widespread use of machine learning (data-driven artificial intelligence algorithms) is rapidly reshaping the research landscape both in industry and academia. This two-day workshop is aimed at climate scientists and meteorologists interested in a fast-track introduction to machine learning techniques and their applications. It consists of brief hands-on lectures on key concepts such as supervised and unsupervised machine learning, overfitting in high-dimensional problems, regression and classification, pattern recognition and dimension reduction. These lectures will be complemented by interactive computer-based exercises in Python. The workshop concludes with a hackathon where participants can apply all new concepts in practice.

The lectures will be delivered in English; individual advice on the computer exercises can be given both in English and German. Basic programming knowledge (not necessarily in Python) is a prerequisite. In general, participants should be able to read and modify pre-written code with additional support by the lecturer.

Speaker

Dr. Peer Nowack (Imperial College London)

Program

Organisation

Dr. Eric Parteli, Dr. Mark Reyers (Department of Geosciences, University of Cologne)

Lageplan

(Mobile) Registration