Machine Learning in the Climate Sciences
10th - 11th September 2019
Regional Computing Centre (RRZK)
University of Cologne
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.
Dr. Peer Nowack (Imperial College London)
Tuesday, 10 September:
Wednesday, 11 September:
Dr. Eric Parteli, Dr. Mark Reyers (Department of Geosciences, University of Cologne)