Machine Learning on Kubernetes: A practical handbook for building and using a complete open source machine learning platform on Kubernetes
Author:   Faisal Masood ,  Ross Brigoli
Publisher:   Packt Publishing Limited
ISBN:  

9781803241807


Pages:   384
Publication Date:   24 June 2022
Format:   Paperback
Availability:   Available To Order   Availability explained
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Machine Learning on Kubernetes: A practical handbook for building and using a complete open source machine learning platform on Kubernetes


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Author:   Faisal Masood ,  Ross Brigoli
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781803241807


ISBN 10:   1803241802
Pages:   384
Publication Date:   24 June 2022
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Challenges in Machine Learning Understanding MLOps Exploring Kubernetes The Anatomy of a Machine Learning Platform Data Engineering Machine Learning Engineering Model Deployment and Automation Building a Complete ML Project Using the Platform Building Your Data Pipeline Building, Deploying and Monitoring Your Model Machine Learning on Kubernetes

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Author Information

Faisal Masood is a principal architect at Red Hat. He has been helping teams to design and build data science and application platforms using OpenShift, Red Hat's enterprise Kubernetes offering. Faisal has over 20 years of experience in building software and has been building microservices since the pre-Kubernetes era. Ross Brigoli is an associate principal architect at Red Hat. He has been designing and building software in various industries for over 18 years. He has designed and built data platforms and workflow automation platforms. Before Red Hat, Ross led a data engineering team as an architect in the financial services industry. He currently designs and builds microservices architectures and machine learning solutions on OpenShift.

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