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<span xml:lang="en">Machine Learning at Scale with H2O: A practical guide to building and deploying machine learning models on enterprise systems</span>

Keys, Gregory

Whiting, David

Build predictive models using large data volumes and deploy them to production using cutting-edge techniquesKey FeaturesBuild highly accurate state-of-the-art machine learning models against large-scale dataDeploy models for batch, real-time, and streaming data in a wide variety of target production systemsExplore all the new features of the H2O AI Cloud end-to-end machine learning platformBook DescriptionH2O is an open source, fast, and scalable machine learning framework that allows you to build models using big data and then easily productionalize them in diverse enterprise environments.

Build predictive models using large data volumes and deploy them to production using cutting-edge techniquesKey FeaturesBuild...

Machine Learning at Scale with H2O: A practical guide to...

Machine Learning at Scale with H2O: A practical guide to building and deploying machine learning models on enterprise systems

Format

Machine Learning at Scale with H2O: A practical guide to building and deploying machine learning models on enterprise systems

Gregory Keys

David Whiting

Gregory Keys

David Whiting

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