Customers can now leverage big data to discover insights on customer
behavior, pricing optimization and more
“H2O is pushing the boundaries of Hadoop and bringing data science to the masses by creating an easy to use, seamless experience for the user,” said
The key to H2O’s interactive performance is its fast in-memory parallel processing—never before have state-of-art algorithms been distributed at these speeds.
A vibrant community of data scientists, systems and language enthusiasts has built up quickly around a shared interest in H2O. H2O has sponsored or participated in 45 data science meet-ups over the past nine months. For more information on upcoming H2O meet-ups, please visit http://0xdata.com/events/ or join the movement at http://0xdata.com/h2o-2/community/
VISIT US AT STRATA!
H2O Booth #919,
H2O brings better algorithms to big data. H2O is a fast open source in-memory prediction engine and machine learning platform. With H2O enterprises can use all of their data (instead of sampling) in real-time for better predictions. Users can model data quickly and make better data-driven decisions faster by running advanced algorithms such as Deep Learning, Classification, Regression, Decision Trees, Forests, Gradient Boosting, GLM, PCA and more. Data Scientists can take both simple & sophisticated models to production from the same interactive platform used for modeling within R and JSON.
Our earliest customers have built powerful domain specific predictive engines for Recommendations, Pricing, Outlier Detection and Fraud Prediction for Insurance and Ad Platforms. H2O is nurturing a grassroots movement of math, systems and data scientists to herald the new wave of Discovery with Big Data Science. H2O is on CRN’s 10 Coolest Big Data Products of 2013 and is a