Dear Makers, We are hosting our fifth meetup on 27th November. Talk 1: Scalable Automatic Machine Learning in H2O by Erin LeDell The focus of this presentation is scalable and automatic machine learning using the H2O machine learning platform. H2O is an open source, distributed machine learning platform designed for big data. The core machine learning algorithms of H2O are implemented in high-performance Java, however, fully-featured APIs are available in R, Python, Scala, REST/JSON, and also through a web interface. Since H2O's algorithm implementations are distributed, this allows the software to scale to very large datasets that may not fit into RAM on a single machine.

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.

For the very first time, we organized a joint meetup with the Paris Machine Learning group. Ingima kindly welcomed the participants in central Paris. While Erin LeDell, Chief Machine Learning Scientist at H2O.ai, was in Paris to attend an OpenML workshop at INRIA, she kindly accepted to talk during an exceptional "hors-série" meetup. She spoke about "Scalable Automatic Machine Learning with H2O". Erin LeDell's presentation provided a history and overview of the field of Automatic Machine Learning (AutoML), followed by a detailed look inside H2O's AutoML algorithm.