Da: Books From California, Simi Valley, CA, U.S.A.
EUR 21,20
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Da: CollegePoint, Inc, Memphis, TN, U.S.A.
Prima edizione
EUR 32,44
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 40,79
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Da: Lakeside Books, Benton Harbor, MI, U.S.A.
EUR 39,61
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Aggiungi al carrelloCondizione: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 42,66
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 42,98
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EUR 47,16
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Editore: O'Reilly Media
Da: Academic Book Solutions, Medford, NY, U.S.A.
EUR 28,27
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Aggiungi al carrellopaperback. Condizione: LikeNew. Used Like New, no missing pages, no damage to binding, may have a remainder mark.
Da: UK BOOKS STORE, London, LONDO, Regno Unito
EUR 43,31
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Aggiungi al carrelloPaperback. Condizione: USED BOOKS. Used Books ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
EUR 42,37
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Da: California Books, Miami, FL, U.S.A.
EUR 48,62
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EUR 49,89
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Aggiungi al carrelloPaperback. Condizione: New. Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references.This book will help you tackle scenarios such as:Engineering data and choosing the right metrics to solve a business problemAutomating the process for continually developing, evaluating, deploying, and updating modelsDeveloping a monitoring system to quickly detect and address issues your models might encounter in productionArchitecting an ML platform that serves across use casesDeveloping responsible ML systems.
EUR 38,40
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Aggiungi al carrelloCondizione: new. Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references. This book will help you tackle scenarios such as engineering data and choosing the right metrics to solve a business problem; automating the process for continually developing, evaluating, deploying, and updating models; developing a monitoring system to quickly detect and address issues your models might encounter in production; architecting an ML platform that serves across use cases; and developing responsible ML systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: O'Reilly Media, Sebastopol, 2022
ISBN 10: 1098107969 ISBN 13: 9781098107963
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
EUR 52,08
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references.This book will help you tackle scenarios such as:Engineering data and choosing the right metrics to solve a business problemAutomating the process for continually developing, evaluating, deploying, and updating modelsDeveloping a monitoring system to quickly detect and address issues your models might encounter in productionArchitecting an ML platform that serves across use casesDeveloping responsible ML systems In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 46,73
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 42,35
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 47,85
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Aggiungi al carrelloCondizione: New. In.
EUR 63,52
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Aggiungi al carrelloPaperback. Condizione: New. Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references.This book will help you tackle scenarios such as:Engineering data and choosing the right metrics to solve a business problemAutomating the process for continually developing, evaluating, deploying, and updating modelsDeveloping a monitoring system to quickly detect and address issues your models might encounter in productionArchitecting an ML platform that serves across use casesDeveloping responsible ML systems.
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 63,54
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications. Book.
Da: BestAroundDeals, Grand Rapids, MI, U.S.A.
Prima edizione
EUR 53,03
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Aggiungi al carrelloSoft cover. Condizione: New. 1st Edition.
Editore: American Orthopsychiatric Association, 2022
ISBN 10: 1098107969 ISBN 13: 9781098107963
Lingua: Inglese
Da: Majestic Books, Hounslow, Regno Unito
EUR 56,96
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Aggiungi al carrelloCondizione: New. pp. 360.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 53,52
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Aggiungi al carrelloCondizione: New. 2022. Paperback. . . . . .
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 49,59
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: American Orthopsychiatric Association, 2022
ISBN 10: 1098107969 ISBN 13: 9781098107963
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
EUR 67,19
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Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 65,59
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Aggiungi al carrelloCondizione: New. 2022. Paperback. . . . . . Books ship from the US and Ireland.
Editore: American Orthopsychiatric Association, 2022
ISBN 10: 1098107969 ISBN 13: 9781098107963
Lingua: Inglese
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 67,44
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Aggiungi al carrelloCondizione: New. pp. 360.
Da: Revaluation Books, Exeter, Regno Unito
EUR 66,04
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Aggiungi al carrelloPaperback. Condizione: Brand New. 350 pages. 9.19x7.00x0.80 inches. In Stock.
EUR 65,50
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. 367 pp. Englisch.
EUR 65,50
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. 367 pp. Englisch.
EUR 43,17
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Aggiungi al carrelloCondizione: NEW.