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Engineering MLOps : rapidly build, test, and manage production-ready machine learning life cycles at scale /: rapidly build, test, and manage production-ready machine learning life cycles at scale. (2021)
Record Type:
Book
Title:
Engineering MLOps : rapidly build, test, and manage production-ready machine learning life cycles at scale /: rapidly build, test, and manage production-ready machine learning life cycles at scale. (2021)
Main Title:
Engineering MLOps : rapidly build, test, and manage production-ready machine learning life cycles at scale
Table of ContentsFundamentals of MLOps WorkflowCharacterizing your Machine learning problemCode Meets DataMachine Learning PipelinesModel evaluation and packagingKey principles for deploying your ML systemBuilding robust CI and CD pipelines APIs and microservice ManagementTesting and Securing Your ML SolutionEssentials of Production ReleaseKey principles for monitoring your ML systemModel Serving and Monitoring Governing the ML system for Continual Learning.
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