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

By: Publication details: Birmingham: Packt Publishing Ltd, 2021Description: 353ISBN:
  • 9781800562882
Subject(s): DDC classification:
  • 006.31 RAJ
Summary: Formulate data governance strategies and pipelines for ML training and deployment Get to grips with implementing ML pipelines, CI/CD pipelines, and ML monitoring pipelines Design a robust and scalable microservice and API for test and production environments Curate your custom CD processes for related use cases and organizations Monitor ML models, including monitoring data drift, model drift, and application performance Build and maintain automated ML systems
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Book Book Alliance College of Engineering and Design Computer Science and Information Technology 006.31 RAJ (Browse shelf(Opens below)) Available E15632
Book Book Alliance College of Engineering and Design Computer Science and Information Technology 006.31 RAJ (Browse shelf(Opens below)) Available E15633
Total holds: 0

Formulate data governance strategies and pipelines for ML training and deployment
Get to grips with implementing ML pipelines, CI/CD pipelines, and ML monitoring pipelines
Design a robust and scalable microservice and API for test and production environments
Curate your custom CD processes for related use cases and organizations
Monitor ML models, including monitoring data drift, model drift, and application performance
Build and maintain automated ML systems

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