Erin LeDell, H2O.ai - Scalable Automatic Machine Learning with H2O - #H2OWorld 2019 NYC

This session was recorded in NYC on October 22nd, 2019. Scalable Automatic Machine Learning with H2O In this presentation, Erin LeDell (Chief Machine Learning Scientist, H2O.ai), will provide a history and overview of the field of "Automatic Machine Learning" (AutoML), followed by a detailed look inside H2O's open source AutoML algorithm. H2O AutoML provides an easy-to-use interface which automates data pre-processing, training and tuning a large selection of candidate models (including multiple stacked ensemble models for superior model performance). The result of the AutoML run is a "leaderboard" of H2O models which can be easily exported for use in production. AutoML is available in all H2O interfaces (R, Python, Scala, web GUI) and due to the distributed nature of the H2O platform, can scale to very large datasets.