H2O brings better algorithms to big data. For a quick overview on how see the video at this link and embedded below.
H2O is a fast open source in-memory prediction engine and machine learning platform. With H2O enterprises can use all of their data (instead of sampling) in real-time for better predictions. Users can model data quickly and make better data-driven decisions faster by running advanced algorithms such as Deep Learning, Classification, Regression, Decision Trees, Forests, Gradient Boosting, GLM, PCA and more. Data Scientists can take both simple & sophisticated models to production from the same interactive platform used for modeling within R and JSON.
For more see: http://0xdata.com/
Related Posts:
In-Memory Hadoop—use it when speed matters
Amazon rolls out High Memory Instances for in-memory databases
Scale and Speed with Cyber Security
For competitors search our Solutions Directory:
Artificial Intelligence Companies | Big Data Companies | Business Intelligence Companies | Cybersecurity Companies | Cloud Computing Companies | Collaborative Tool Companies | Infrastructure Companies | IoT Companies | Mobile Companies | Robotics Companies | Services Companies | Tech Titans | VC, PE and Finance Companies