Lecturers & Topics
General overview on the use of machine learning techniques in astronomy
Prof. S. George Djorgovski
Caltech, Division of Physics, Mathematics and Astronomy
Data challenges and solutions in forthcoming surveys
Prof. Mario Juric
University of Washington
Machine learning methods for non-supervised classification and dimension reduction techniques
Dalya Baron
School of Physics and Astronomy, Tel-Aviv University
Supervised learning: classification and regression
Prof. Michael Biehl
Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen
Deep learning
Prof. Marc Huertas-Company
Université Paris-Diderot - Observatoire de Paris;
​Instituto de Astrofísica de Canarias