Engineering MLOps: Rapidly build, test, and manage production-ready machine learning life cycles at scale (repost)
Engineering MLOps: Rapidly build, test, and manage production-ready machine learning life cycles at scale:
Rapidly test, build, and manage production-ready machine learning life cycles at scale
by Emmanuel Raj
English | 2021 | ISBN: 1800562888 | 282 Pages | PDF EPUB (True) | 34 MB
Rapidly test, build, and manage production-ready machine learning life cycles at scale
by Emmanuel Raj
English | 2021 | ISBN: 1800562888 | 282 Pages | PDF EPUB (True) | 34 MB
MLOps is a systematic approach to building, deploying, and monitoring machine learning solutions. It is an engineering discipline that can be applied to various industries and use cases. This book presents comprehensive insights into MLOps coupled with real-world examples to help you to write programs, train robust and scalable machine learning (ML) models, and build ML pipelines to train and deploy models securely in production.