H2O is open-source software for big-data analysis. It is produced by the company H2O.ai (formerly 0xdata), which launched in 2011 in Silicon Valley. H2O allows users to fit thousands of potential models as part of discovering patterns in data.

H2O’s mathematical core is developed with the leadership of Arno Candel, part of Fortune’s 2014 “Big Data All Stars”. The firm’s scientific advisors are experts on statistical learning theory and mathematical optimization.

The H2O software runs can be called from the statistical package R, Python, and other environments. It is used for exploring and analyzing datasets held in cloud computing systems and in the Apache Hadoop Distributed File System as well as in the conventional operating-systems Linux, macOS, and Microsoft Windows. The H2O software is written in Java, Python, and R. Its graphical-user interface is compatible with four browsers: Chrome, Safari, Firefox, and Internet Explorer.

Timeseries forecasting with H2O

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By expanding a time series horizontally you can use H2O to forecast it.

Spam with Sparkling Water

Using Spark and H2O to detect spam.

Ensemble Learner

Ensemble learner using H2O.