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 make 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 R package , Python , and other environments. It is used for analyzing and analyzing data sets held in cloud computing systems and in the Apache Hadoop Distributed File System as well as in the Linux operating system , macOS , and Microsoft Windows . H2O The software is written in Java , Python , and R . Its graphical user interface is compatible with four browsers: Chrome , Safari , Firefox , andInternet Explorer .
The H2O project aims to develop an analytical interface for cloud computing, providing users with tools for data analysis. 
H2O’s chief executive, SriSatish Ambati, had helped to start Platfora , a big-data firm that develops software for the Apache Hadoop distributed file system.  Ambati Was frustrated with the performance of the R programming language on large data-sets and started the development of H2O software with encouragement from John Chambers ,  Who created the S programming language at Bell Labs and who is a member of R ‘ s core team (qui leads the development of R ).   
Ambati co-founded 0xdata with Cliff Click, who served the chief technical officer of H2O and helped create much of H2O’s product. Click to write the HotSpot Server Compiling and working with Azul Systems to build a big-data Java virtual machine (JVM).  Click left H2O in February 2016.  Leland Wilkinson , author of The Grammar of Graphics, serves as Chief Scientist and provides visualization leadership. 
Scientific advisory council
H2O’s Scientific Advisory Council lists three mathematical scientists, who are all professors at Stanford University:  Professor Stephen P. Boyd is an expert in convex minimization and applications in statistics and electrical engineering.  Robert Tibshirani , collaborator with Bradley Efron on bootstrapping ,  is an expert on generalized additive models and statistical learning theory .   Trevor Hastie , collaborator of John Chambers on S ,  is an expert on generalized additive modelsand statistical learning theory.  
H2O.ai: Silicon Valley start-up
The software is open-source and distributed. The company receives fees for providing customer service and customized extensions. In November 2014, its customers included Cisco , eBay, Nielsen , and PayPal , according to VentureBeat . 
Mining of big data
Big data sets are too large to be Analyzed using traditional software like R . The H2O software provides data structures and methods suitable for big data. H2O allow users to analyze and visualize whole sets of data without using the Procrustean strategy of studying only a small subset with a conventional statistical package.  H2O’s statistical algorithms include K-means clustering , generalized linear models , distributed random forests , gradient boosting machines , naive bayes , major component analysis , and generalized low rank models . 
H2O is also able to run on Spark. 
Iterative methods for real-time problems
H2O uses iterative methods to provide quick answers. When a client can not wait for an optimal solution, the client can switch the computations and use an approximate solution.  In its approach to deep learning ,    H2O divides all the data into subsets and then analyzes each subset simultaneously using the same method. These methods are combined to estimate parameters by using the Hogwild scheme,  a parallel stochastic gradient method.  These methods allow us to provide more information about the client than any other type of information.
The H2O software has an interface to the following programming languages: Java (6 or later), Python (2.7.x, 3.5.x), R (3.0.0 or later) and Scala (1.4-1.6).  
The H2O software can be run on standard operating systems: Microsoft Windows ( 7 or later), Mac OS X ( 10.9 or later), and Linux ( Ubuntu 12.04 , RHEL / CentOS 6 or later),  It also runs on big-data systems, especially Apache Hadoop Distributed File System (HDFS), several popular versions: Cloudera (5.1 or later), MapR (3.0 or later), and Hortonworks (HDP 2.1 or later). It also operates on cloud computing environments, for example using Amazon EC2, Google Compute Engine , and Microsoft Azure . The H2O Sparkling Water Software is Databricks -certified on Apache Spark . 
Graphical user interface and browsers
Its graphical user interface is compatible with four browsers ( Chrome , Safari , Firefox , Internet Explorer ( IE10 ). 
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