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H2O (software)
H2O is open-source software for big-data analysis. It is produced by the start-up ''H2O.ai'' (formerly ''0xdata''), which launched in 2011 in Silicon Valley. The speed and flexibility of H2O allow users to fit hundreds or thousands of potential models as part of discovering patterns in data. With H2O, users can throw models at data to find usable information, allowing H2O to discover patterns. Using H2O, Cisco estimates each month 20 thousand models of its customers' propensities to buy while Google fits different models for each client according to the time of day.〔
H2O's mathematical core is developed with the leadership of Arno Candel; after H2O was rated as the best "open-source Java machine learning project" by GitHub's programming members, Candel was named to the first class of "Big Data All Stars" by ''Fortune'' in 2014.〔 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'' 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, Mac OS, and Microsoft Windows. The H2O software is written in Java, Python, and ''R''. Its graphical-user interface is compatible with four popular browsers: Chrome, Safari, Firefox, and Internet Explorer.
==H2O==
The H2O project aims to develop an analytical interface for cloud computing, providing users with intuitive tools for data analysis.〔
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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