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Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps (English Edition)
Unavailable
Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps (English Edition)
Unavailable
Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps (English Edition)
Ebook329 pages4 hours

Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps (English Edition)

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About this ebook

‘Machine Learning in Production’ is an attempt to decipher the path to a remarkable career in the field of MLOps. It is a comprehensive guide to managing the machine learning lifecycle from development to deployment, outlining ways in which you can deploy ML models in production.

It starts off with fundamental concepts, an introduction to the ML lifecycle and MLOps, followed by comprehensive step-by-step instructions on how to develop a package for ML code from scratch that can be installed using pip. It then covers MLflow for ML life cycle management, CI/CD pipelines, and shows how to deploy ML applications on Azure, GCP, and AWS. Furthermore, it provides guidance on how to convert Python applications into Android and Windows apps, as well as how to develop ML web apps. Finally, it covers monitoring, the critical topic of machine learning attacks, and A/B testing.

With this book, you can easily build and deploy machine learning solutions in production.
LanguageEnglish
Release dateApr 29, 2023
ISBN9789355518101
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Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps (English Edition)

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