Fast Scalable Machine Learning
API For Smarter Applications

For All Types of Business

From modeling in familiar desktop environments to large scale enterprise

datasets stretching across hundreds of servers, H2O makes your analysis fluid.

Why H2O?

H2O is for data scientists and application developers who need fast, in-memory scalable machine learning for smarter applications. H2O is an open source parallel processing engine for machine learning. Unlike traditional analytics tools, H2O provides a combination of extraordinary math, a high performance parallel architecture, and unrivaled ease of use.

H2O Community

Keep up to date with what's happening in the H2O community. See blog posts, event dates & more.


H2O is making waves
in the industry

H2O Resources

Find tutorials, examples, documentation, training, booklets & more.


RT @srisatish: Q&A: Advanced flow features for models while still building in @h2oai at @Mark_a_Landry…

October 8 2015 • 3:00:33 PM

RT @indizen_insight: Build a #MachineLearning App Using Sparkling Water and #Spark #bigdata via @Cloudera @h2oai htt…

October 8 2015 • 1:34:46 PM

RT @srisatish: Size of team #fleet #battery failure prediction? 5! Abhay & @mcwizard1 #att @h2oai q&a for #dallas #datascience…

October 8 2015 • 1:32:39 PM

RT @srisatish: Trial n error is where @h2oai speed matters #Abhay @mcwizard1 #datascience #bigdata #fleet http://t.…

October 8 2015 • 1:04:54 PM

RT @srisatish: Marty & Abhay @mcwizard1 talking at Dallas Data Science Day

October 8 2015 • 12:53:00 PM

Dallas #datascience Day is today, feat. @Mark_a_Landry , AT&T, and Marketshare. Stream live 1:00PM CDT:

October 8 2015 • 11:20:20 AM


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