Deep Learning with H2O

Arno Candel & Viraj Parmar

February 2015: Second Edition

Machine Learning with Python and H2O

Pasha Stetsenko

Edited by: Angela Bartz

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http://h2o:ai/resources/

November 2017: Fifth Edition

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Deep Learning with H2O

Arno Candel Erin LeDell

Edited by: Angela Bartz

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http://h2o:ai/resources/

April 2020: Sixth Edition

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Introducing H2O: Fast. Scalable Machine Learning for Better Predictions

H2O brings clarity to the complexity of large-scale data analysis. H2O is the industry’s first scalable machine learning platform trusted by leading businesses, such as PayPal, Nielsen, MarketShare, Trulia, Collective and Cisco. The platform combines cutting-edge algorithms, high-performance in-memory processing, and the freedom of OpenSource to rapidly predict and analyze data at a massive scale.

Using H2O Driverless AI

Patrick Hall, Megan Kurka & Angela Bartz

http://docs.h2o.ai

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July 2018: Version 1.2.2

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Comparative Analysis of Open Source Frameworks for Machine Learning with Use Case in Single-Threaded and Multi-Threaded Modes

Yuriy Kochura*1, Sergii Stirenko1, Anis Rojbi2, Oleg Alienin1, Michail Novotarskiy1, Yuri Gordienko1 1National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kiev, Ukraine 2University of Paris 8, Paris, France

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* iuriy.kochura@gmail.com

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Machine Learning with R and H2O

Spencer Aiello Eric Eckstrand Anqi Fu

Mark Landry Patrick Aboyoun

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Edited by: Jessica Lanford

http://h2o.ai/resources/

February 2016: Sixth Edition

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Reference Architectures for H2O.ai

Unleash the power of AI using H2O.ai on Dell EMC infrastructure optimized for machine learning