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.


useR! Aalborg 2015 conference
KFold Cross Validation With H2O-3 and R
'Ask Craig'- Determining Craigslist Job Categories with Sparkling Water, Part 2
Sparkling Water Tutorials Updated
'Ask Craig'- Determining Craigslist Job Categories with Sparkling Water
Scaling R with H2O
Using H2O for Kaggle: Guest Post by Gaston Besanson and Tim Kreienkamp
PyData Dallas 2015
Deep Learning for Public Safety
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RT @ArnoCandel: "There seems to be no easier way to start with scalable machine learning" @h2oai #opensource #machin…

August 1 2015 • 9:26:29 AM

See the slides from @ledell 's Machine Learning in Modern Medicine presentation at Stanford Med here:

July 30 2015 • 12:05:39 PM

Watch BREAKFAST MEETUP! Building Machine Learning Applications with Sparkling Water on @livestream:

July 30 2015 • 9:26:23 AM

#riseandshine This mornings' breakfast Meetup with @mmalohlava

July 30 2015 • 9:25:11 AM


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