H2O (Software)
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 | |
| Original author(s) | SriSatish Ambati, Cliff Click |
|---|---|
| Developer(s) | H2O.ai |
| Initial release | 2011 |
| Stable release | 3.46.0.2
/ 13 May 2024 |
| Written in | Java, Python, R |
| Engine | |
| Operating system | Unix, Mac OS, Microsoft Windows |
| Type | Statistics software |
| License | Apache License 2.0 |
| Website | www.h2o.ai |
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H2O is an open-source data science and machine learning platform from the company H2O.ai (previously 0xdata) for big data analysis.
H2O implements algorithms in the field of statistics, data mining and machine learning (generalized linear models, K-Means, random forests, gradient boosting and deep learning).[1] The software is based on the Hadoop Distributed File System, so that improved performance is achieved compared to other analysis tools.[2] While the algorithm executes, approximate results are displayed, so that users can track the progress and intervene if needed. H2O can be operated graphically via a web browser or via interfaces with R, Python, Apache Hadoop and Spark, as well as Maven. With the help of the REST-API, H2O can also be operated from Microsoft Excel or RStudio.[3] With the H2O Machine Learning Integration Nodes, KNIME offers algorithmic workflows.[4] The software is distributed free of charge, under a business model based on the development of individual applications and support.[5]
The three Stanford professors Stephen P. Boyd, Robert Tibshirani and Trevor Hastie form a panel that advises H2O on scientific issues.[6]
H2O was voted number one by GitHub members among the open source machine learning projects written in Java. Fortune magazine also named Arno Candel (one of the most important developers) as one of 20 Big Data All-Stars in 2014.[7]
External links[edit]
References[edit]
- ↑ Dulhare, U. N., Ahmad, K., Ahmad, K. A. B., Dulhare, U. N., Mubeen, A., Ahmad, K. (15 July 2020). "Hands‐On H2O Machine Learning Tool". Wiley.
- ↑ Cook, Darren (2016-12-05). Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI. "O'Reilly Media, Inc.". ISBN 978-1-4919-6457-6. Search this book on
- ↑ Ajgaonkar, Salil (2022-09-26). Practical Automated Machine Learning Using H2O.ai: Discover the power of automated machine learning, from experimentation through to deployment to production. Packt Publishing Ltd. ISBN 978-1-80107-635-7. Search this book on
- ↑ "KNIME Hub". Retrieved 2020-01-23.
- ↑ Jordan Novet (2014-11-07). "0xdata takes $8.9M and becomes H2O to match its open-source machine-learning project". VentureBeat. VentureBeat, Inc. Retrieved 2016-07-23.
- ↑ "Start Off 2017 with Our Stanford Advisors | H2O.ai". h2o.ai. Retrieved 2024-11-09.
- ↑ Andrew Nusca, Robert Hackett, Shalene Gupta; Arno Candel, Physicist and Hacker, 0xdata (2014-08-03). "Meet Fortune's 2014 Big Data All-Stars". Fortune. Time Inc. Retrieved 2016-07-23.CS1 maint: Multiple names: authors list (link)
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