DSR Partners Page (H2O)

Document created by Rachel Silver Employee on Nov 10, 2017Last modified by maprcommunity on Nov 14, 2017
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H2O (http://www.h2o.ai/), the open source in-memory machine learning and predictive analytics company for big data is a certified MapR Data Science Refinery Partner.

Companies that deploy MapR can seamlessly run open source H2O advanced algorithms on data stored in their MapR CDB clusters without the need for data transfers. By combining the power of H2O’s in-memory prediction engine with a unified platform in MapR, users can get more value from their existing data and easily create models using familiar tools such as R, Python, Scala and Java.

 

"H2O democratizes AI for enterprises and businesses looking to monetize investments in their data infrastructure,” says Sri Ambati, CEO at H2O.ai, “With MapR and H2O, data scientists can now use lightning fast machine learning on all of their data. They can achieve accuracy faster to drive real-time predictions. The joint solution also allows data scientists to operationalize sophisticated and simple models from training to production on the same interactive platform.”

 

MapR+H2O Blogs:

Real-Time Anomaly Detection Streaming Microservices with H2O and MapR – Part 1: Architecture | MapR 

Real-Time Anomaly Detection Streaming Microservices with H2O and MapR – Part 2: Modeling | MapR 

Real-Time Anomaly Detection Streaming Microservices with H2O and MapR – Part 3: Production Deployment of ML Model With a… 

TensorFlow, MXNet, Caffe, H2O - Which Machine Learning Tool Is Best? | MapR 

Scalable Machine Learning on the MapR Converged Data Platform via SparkR and H2O | MapR 

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