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<span xml:lang="en">Engineering MLOps: Rapidly build, test, and manage production-ready machine learning life cycles at scale</span>

Raj, Emmanuel

Get up and running with machine learning life cycle management and implement MLOps in your organizationKey FeaturesBecome well-versed with MLOps techniques to monitor the quality of machine learning models in productionExplore a monitoring framework for ML models in production and learn about end-to-end traceability for deployed modelsPerform CI/CD to automate new implementations in ML pipelinesBook DescriptionEngineering MLps presents comprehensive insights into MLOps coupled with real-world examples in Azure to help you to write programs, train robust and scalable ML models, and build ML...

Get up and running with machine learning life cycle management and implement MLOps in your organizationKey...

Format

Engineering MLOps

Rapidly build, test, and manage production-ready machine learning life cycles at scale

Emmanuel Raj

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