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H2O is an Open Source Fast Scalable Machine Learning API for Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means etc.
Category
Predictive Analytics Software
Features
•Best of Breed Open Source Technology
•Easy-to-use WebUI and Familiar Interfaces
•Data Agnostic Support for all Common Database and File Types
•Massively Scalable Big Data Analysis
•Real-time Data Scoring
License
Proprietary Software
Pricing
Contact for Pricing
Users Size
Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)
•Best of Breed Open Source Technology
•Easy-to-use WebUI and Familiar Interfaces
•Data Agnostic Support for all Common Database and File Types
•Massively Scalable Big Data Analysis
•Real-time Data Scoring
What are the benefits?
• Easy to use WebUI and Familiar interfaces
• Best of breed open source technology
• Massively Scalable big data analysis
• Real time data scoring
• Data diagnostic support for all common database and file types
PAT Rating™ ( Beta)
Editor Rating
Aggregated User Rating
Ease of use
7.6
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Features & Functionality
7.5
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Advanced Features
7.5
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Integration
7.6
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Performance
7.7
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Training
—
Customer Support
7.7
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Implementation
—
Renew & Recommend
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Bottom Line
H2O makes it possible for anyone to easily apply machine learning and predictive analytics to solve today’s most challenging business problems.
7.6
Editor Rating
—
Aggregated User Rating
You have rated this
H2O is an Open Source Fast Scalable Machine Learning API for Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means etc.H2O makes it possible for anyone to easily apply machine learning and predictive analytics to solve today’s most challenging business problems. H2O was written from scratch in Java and seamlessly integrates with the most popular open source products like Apache Hadoop and Spark to give customers the flexibility to solve their most challenging data problems. H2O’s intuitive web-based Flow graphical user interface or familiar programming environments like R, Python, Java, Scala, JSON, and through our powerful APIs. Models can be visually inspected during training, which is unique to H2O. Easily explore and model big data from within Microsoft Excel, R Studio, Tableau and more. Connect to data from HDFS, S3, SQL and NoSQL data sources.
Sparkling Water allows users to combine the fast, scalable machine learning algorithms of H2O with the capabilities of Spark. With Sparkling Water, users can drive computation from Scala/R/Python and utilize the H2O Flow UI, providing an ideal machine learning platform for application developers. The Steam AI engine is an end-to-end platform that streamlines the entire process of building and deploying smart applications.
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By clicking Sign In with social media, you agree to let PAT RESEARCH store, use and/or disclose your social profile and email address in accordance with the PAT RESEARCH Privacy Policy and agree to the Terms of Use.