A first dive into machine learning: Helmholtz virtual ML summer school
Last September 21st, Helmholtz AI scientific director Fabian Theis inaugurated the first Helmholtz Virtual ML summer school 2020 in front of an online audience. His speech highlighted the importance of ‘democratising AI’ and ‘empowering the next generation of data scientists’ through dedicated training activities such as this summer school. This 10-day course offers an introductory ‘dive’ into fundamental techniques and concepts of supervised machine learning, which has become a central part of modern data analysis.
100 selected participants - out of more than 300 applications - from all over the world will take part in this first edition, which is powered by Helmholtz Information & Data Science Academy (HIDA) in cooperation with Helmholtz AI, the Munich School for Data Science (MUDS), Ludwig-Maximilians-Universität München (LMU München) and the Munich Center for Machine Learning (MCML). The demand was very high, so it is likely that more events of this kind are organised in the future.
Guided by instructors Heidi Seibold (Helmholtz AI group lead), Bernd Bischl (LMU München, MCML), Tobias Pielok (LMU München), the summer school follows an innovative ‘flipped classroom’ approach and will also feature showcases from Helmholtz AI consultants Dominik Thalmeier (‘Using anomaly detection to identify mutations that affect hearing behaviour’) and Christian L. Müller (‘Sparse predictive modeling of microbiome data’).
More information about the course structure and a link to the course materials can be found here. Concept and materials are accessible and licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).
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