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

Engineering MLOps will help you get to grips with ML lifecycle management and MLOps implementation for your organization. This book presents comprehensive insights into MLOps coupled with real-world examples that will teach you how to write programs, train robust and scalable ML models, and build ML...

Ausführliche Beschreibung

Gespeichert in:
Weitere Titel:
Engineering MLOps: Rapidly build, test, and manage production-ready machine learning life cycles at scale
1. Verfasser:
Raj, Emmanuel
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
Birmingham, England : Packt Publishing, Limited, [2021]
Zusammenfassung:
Engineering MLOps will help you get to grips with ML lifecycle management and MLOps implementation for your organization. This book presents comprehensive insights into MLOps coupled with real-world examples that will teach you how to write programs, train robust and scalable ML models, and build ML pipelines to train, deploy, and monitor ...
Umfang:
1 online resource (370 pages)
ISBN:
9781800566323
1800566328
Schlagworte:
Machine learning > Computer programs.
Bezugswerke:
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