The 3rd AutoML Fall School continues the successful series of AutoML Fall Schools and will cover core and advanced topics on AutoML, taught by renowned experts in their fields. The Fall School will allow you to meet fellow researchers and get an overview of this vibrant research area.
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.