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.


Second part of the #Craigslist #SparklingWater application blog has been published! by @mmalohlava and Alex Tellez

July 2 2015 • 2:50:28 PM

RT @MissAmyWang: @h2oai @user2015aalborg @MattDowle Arunkumar Srinivasan using fread and h2o.importFile to quickly read in data. http://t.c…

July 2 2015 • 9:10:13 AM

Don't miss @ledell speaking on h2oEnsemble for Scalable Ensemble Learning in R, 16:00 in Det lille Teater at @user2015aalborg #h2oensemble

July 2 2015 • 5:01:52 AM

Busy day at @user2015aalborg in full swing. Visit the H2O booth to learn about fast, scalable machine learning in R!

July 2 2015 • 3:30:49 AM

.@user2015aalborg attendees: @MattDowle is speaking on fast, stable and scalable true radix sorting in the Aalborghallen in 30 minutes!...

July 2 2015 • 1:01:23 AM

Attending @user2015aalborg? Stop by the #H2Oai booth and get a demo of H2O 3.0 from @MattDowle @MissAmyWang @ledell

July 2 2015 • 12:15:09 AM


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