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Build Machine Learning Platform by Hao Benjamin (10 results)
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Build a Machine Learning Platform (From Scratch)
Language: English
Published by Manning Publications, 2026
ISBN 10: 1633437337 ISBN 13: 9781633437333
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Build a Machine Learning Platform (From Scratch)
Language: English
Published by Manning Publications, 2026
ISBN 10: 1633437337 ISBN 13: 9781633437333
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Machine Learning Platform Engineering: Build an Internal Developer Platform for ML and AI Systems (Paperback or Softback)
Language: English
Published by Manning Publications 3/10/2026, 2026
ISBN 10: 1633437337 ISBN 13: 9781633437333
Paperback or Softback. Condition: New. Machine Learning Platform Engineering: Build an Internal Developer Platform for ML and AI Systems. Book.
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Machine Learning Platform Engineering: Build an internal developer platform for ML and AI systems (From Scratch)
Language: English
Published by Manning Publications, 2026
ISBN 10: 1633437337 ISBN 13: 9781633437333
Condition: New.
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Build a Machine Learning Platform (From Scratch)
Language: English
Published by Manning Publications, 2026
ISBN 10: 1633437337 ISBN 13: 9781633437333
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Machine Learning Platform Engineering: Build an internal developer platform for ML and AI systems (From Scratch)
Language: English
Published by Manning Publications, 2026
ISBN 10: 1633437337 ISBN 13: 9781633437333
paperback. Condition: New. Special order direct from the distributor.
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Build a Machine Learning Platform (From Scratch)
Language: English
Published by Manning Publications, 2026
ISBN 10: 1633437337 ISBN 13: 9781633437333
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
Condition: New. 2026. 1st Edition. paperback. . . . . .
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Build a Machine Learning Platform (From Scratch)
Language: English
Published by Manning Publications, 2026
ISBN 10: 1633437337 ISBN 13: 9781633437333
Condition: New. 2026. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.
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BUILD A MACHINE LEARNING PLATFORM FROM S
Language: English
Published by Manning Publications, 2026
ISBN 10: 1633437337 ISBN 13: 9781633437333
Condition: NEW.
-
Build a Machine Learning Platform (From Scratch)
Language: English
Published by Manning Publications Apr 2026, 2026
ISBN 10: 1633437337 ISBN 13: 9781633437333
Buch. Condition: Neu. Neuware - Get a free Elektronisches Buch (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.Delivering a successful machine learning project is hard. This book makes it easier. In it, you'll design a reliable ML system from the ground up, incorporating MLOps and DevOps along with a stack of proven infrastructure tools including Kubeflow, MLFlow, BentoML, Evidently, and Feast. A properly designed machine learning system streamlines data workflows, improves collaboration between data and operations teams, and provides much-needed structure for both training and deployment. In this book you'll learn how to design and implement a machine learning system from the ground up. You'll appreciate this instantly-useful introduction to achieving the full benefits of automated ML infrastructure. In Machine Learning Platform Engineering you'll learn how to: Set up an MLOps platform Deploy machine learning models to production Build end-to-end data pipelines Effective monitoring and explainability About the technology AI and ML systems have a lot of moving parts, from language libraries and application frameworks, to workflow and deployment infrastructure, to LLMs and other advanced models. A well-designed internal development platform (IDP) gives developers a defined set of tools and guidelines that accelerate the dev process, improving consistency, security, and developer experience. About the book Machine Learning Platform Engineering shows you how to build an effective IDP for ML and AI applications. Each chapter illuminates a vital part of the ML workflow, including setting up orchestration pipelines, selecting models, allocating resources for training, inference, and serving, and more. As you go, you'll create a versatile modern platform using open source tools like Kubeflow, MLFlow, BentoML, Evidently, Feast, and LangChain. What's inside Set up an end-to-end MLOps/LLMOps platform Deploy ML and AI models to production Effective monitoring, evaluation, and explainability About the reader For data scientists or software engineers. Examples in Python. About the author Benjamin Tan Wei Hao leads a team of ML engineers and data scientists at DKatalis. Shanoop Padmanabhan is a software engineering manager at Continental Automotive. Varun Mallya is a senior ML engineer at DKatalis. Table of Contents Part 1 1 Getting started with MLOps and ML engineering 2 What is MLOps 3 Building applications on Kubernetes Part 2 4 Designing reliable ML systems 5 Orchestrating ML pipelines 6 Productionizing ML models Part 3 7 Data analysis and preparation 8 Model training and validation: Part 1 9 Model training and validation: Part 2 10 Model inference and serving 11 Monitoring and explainability Part 4 12 Designing LLM-powered systems 13 Production LLM system design A Installation and setup B Basics of YAML.
