Machine Learning at Scale with H2O: A practical guide to building and deploying machine learning models on enterprise systems
Author:   Gregory Keys ,  David Whiting
Publisher:   Packt Publishing Limited
ISBN:  

9781800566019


Pages:   396
Publication Date:   30 June 2022
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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


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Author:   Gregory Keys ,  David Whiting
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781800566019


ISBN 10:   1800566018
Pages:   396
Publication Date:   30 June 2022
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Table of Contents Opportunities and Challenges Platform Components and Key Concepts Fundamental Workflow - Data to Deployable Model H2O Model Building at Scale – Capability Articulation Advanced Model Building – Part I Advanced Model Building – Part II Understanding ML Models Putting It All Together Production Scoring and the H2O MOJO H2O Model Deployment Patterns The Administrator and Operations Views The Enterprise Architect and Security Views Introducing the H2O AI Cloud H2O at Scale in a Larger Platform Context Appendix – Alternative Methods to Launch H2O Clusters

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Author Information

Gregory Keys is a Senior Solution Architect at H2O and has over 20 years of experience designing and implementing software and data systems. He innovated a model deployment and governance framework that was incorporated into Cloudera machine learning product line. David Whiting is a Data Science Director and Head of Training at H2O.ai. He has over 18 years of experience in business, consulting, and academia. He is adept at developing and maintaining long-term collaborations with experts in multiple fields. He has both led and participated in multi-disciplinary teams and he enjoys mentoring developing analysts and has a substantial experience in doing so.

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