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Wednesday, October 27 • 10:05am - 10:50am
Automatic Machine Learning with AutoGluon - Algorithms, Domains, Applications - Auditorium

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AutoML is the ultimate challenge for machine learning algorithms. After all, design choices need to be automatic and tools need to work reliably all the time, within a given budget for computation and time. This poses exciting and (many unsolved) problems both in terms of model selection, calibration, optimization, adaptive design of priors, and data detection. In this talk I give an overview of the associated scientific problems and the current state of the art in terms of what goes into AutoGluon.

avatar for Alex Smola

Alex Smola

VP and Distinguished Scientist, Amazon Web Services
Alex Smola studied physics in Munich at the University of Technology, Munich and at AT&T Research in Holmdel. He received a Doctoral Degree in computer science at the University of Technology Berlin in 1998. He worked at the Fraunhofer Geselschaft (1996-1999),  NICTA (2004-2008... Read More →

Wednesday October 27, 2021 10:05am - 10:50am CDT

Attendees (5)