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[DSC Austria] Automated Machine Learning for fast experiments and prototypes - by Philipp Singer & Dmitry Gordeev
Automated machine learning aims at automating the process of applying machine learning to real-world problems and is one of the current hot trends in data science. In this talk, we provide a generic introduction to the topic and highlight arguments of why AutoML is important and how it can foster the data science throughput within companies. We provide an overview of the current landscape, discuss customer success stories, and showcase how AutoML can help to build fast experiments and prototypes in practice.

Sep 9, 2020 12:45 PM in Vienna

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