Zustand: good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly!
Paperback. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 46,25
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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Sprache: Englisch
Verlag: Manning Publications 3/10/2026, 2026
ISBN 10: 1633437337 ISBN 13: 9781633437333
Anbieter: BargainBookStores, Grand Rapids, MI, USA
Paperback or Softback. Zustand: New. Machine Learning Platform Engineering: Build an Internal Developer Platform for ML and AI Systems. Book.
Zustand: New.
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
EUR 46,96
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In den WarenkorbHardback. Zustand: New. New copy - Usually dispatched within 4 working days.
Sprache: Englisch
Verlag: Red Moon Productions Ltd. 2021-04-15, 2021
ISBN 10: 191618488X ISBN 13: 9781916184886
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
EUR 47,38
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In den WarenkorbHardcover. Zustand: New. Nguyen, Nhat Hao (illustrator).
EUR 62,71
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In den WarenkorbPaperback. Zustand: Brand New. pap/psc edition. 278 pages. 9.25x7.50x0.50 inches. In Stock.
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paperback. Zustand: New. Special order direct from the distributor.
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Erstausgabe
Zustand: New. 2026. 1st Edition. paperback. . . . . .
Zustand: New. 2026. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.
EUR 49,22
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In den WarenkorbZustand: NEW.
Sprache: Englisch
Verlag: Manning Publications Apr 2026, 2026
ISBN 10: 1633437337 ISBN 13: 9781633437333
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: 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.
EUR 218,97
Anzahl: 5 verfügbar
In den WarenkorbHardcover. Zustand: New.
paperback. Zustand: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.History of seismologyFour Satisfaction guaranteed,or money back.
Sprache: Englisch
Verlag: Red Moon Productions Ltd., 2021
ISBN 10: 191618488X ISBN 13: 9781916184886
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 56,69
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. Nguyen, Nhat Hao (illustrator). 270 pages. 8.00x0.88x10.00 inches. In Stock. This item is printed on demand.