The AutoML Fall School dealt with core topics of AutoML, covering basics, state-of-the-art approaches and hands-on sessions. Enthusiastic AutoML experts presented their diverse views on AutoML to ML practitioners, developers, research engineers, researchers and students.
The renowned 12-week Data Science for Social Good Summer Programme was delivered by the University of Warwick (UK) in collaboration with researchers from LMU/MCML under the Data Science for Social Good UK chapter (DSSGx) of the DSSG Foundation. DSSGx gave 16 hand-picked students from all over the world the opportunity to refine their data science skills through intense training, and by working in small supervised teams on real-world data mining, machine learning, and data science projects. Selected fellows received a stipend to work with global non-profit organisations and government bodies to make a real-world social impact with their data, by improving their services, interventions, and outreach.