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designing machine learning systems de chip huyen (45 résultats)
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Vendeur : HPB-Red, Dallas, TX, Etats-Unis
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Ajouter au panierpaperback. Etat : 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!
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
EUR 39,47
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Ajouter au panierEtat : Good. Item in good condition and has highlighting/writing on text. Used texts may not contain supplemental items such as CDs, info-trac etc.
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Vendeur : CollegePoint, Inc, Memphis, TN, Etats-Unis
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Edition originale
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Designing Machine Learning Systems : An Iterative Process for Production-ready Applications
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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EUR 41,01
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Vendeur : Lakeside Books, Benton Harbor, MI, Etats-Unis
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Ajouter au panierEtat : 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!
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Designing Machine Learning Systems : An Iterative Process for Production-ready Applications
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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EUR 42,88
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Vendeur : Best Price, Torrance, CA, Etats-Unis
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Designing Machine Learning Systems
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Edité par O'Reilly Media
Vendeur : Academic Book Solutions, Medford, NY, Etats-Unis
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EUR 28,42
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Designing Machine Learning Systems
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
EUR 41,99
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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Edition internationaleDesigning Machine Learning Systems: An Iterative Process for Production-Ready Applications1st Edition
Vendeur : UK BOOKS STORE, London, LONDO, Royaume-Uni
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EUR 43,54
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Ajouter au panierPaperback. Etat : 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.
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Designing Machine Learning Systems
Vendeur : Rarewaves USA, OSWEGO, IL, Etats-Unis
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EUR 50,15
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Ajouter au panierPaperback. Etat : 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.
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Designing Machine Learning Systems
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
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EUR 38,60
Gratuit expédition vers Etats-UnisQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : 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.
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Designing Machine Learning Systems (Paperback)
Edité par O'Reilly Media, Sebastopol, 2022
ISBN 10 : 1098107969 ISBN 13 : 9781098107963
Langue: anglais
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
EUR 52,35
Gratuit expédition vers Etats-UnisQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : 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.
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (eng)
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
Évaluation du vendeur 5 sur 5 étoiles
EUR 46,41
EUR 6,80 expédition depuis Italie vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : new.
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Designing Machine Learning Systems : An Iterative Process for Production-ready Applications
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
EUR 41,85
EUR 17,02 expédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 5 disponible(s)
Ajouter au panierEtat : New.
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
EUR 47,43
EUR 13,60 expédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 3 disponible(s)
Ajouter au panierEtat : New. In.
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Designing Machine Learning Systems
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
EUR 63,38
Gratuit expédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Ajouter au panierPaperback. Etat : 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.
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (Paperback or Softback)
Edité par O'Reilly Media 6/21/2022, 2022
ISBN 10 : 1098107969 ISBN 13 : 9781098107963
Langue: anglais
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
EUR 63,87
Gratuit expédition vers Etats-UnisQuantité disponible : 5 disponible(s)
Ajouter au panierPaperback or Softback. Etat : New. Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications. Book.
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Designing Machine Learning Systems
Edité par American Orthopsychiatric Association, 2022
ISBN 10 : 1098107969 ISBN 13 : 9781098107963
Langue: anglais
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
EUR 57,26
EUR 7,38 expédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 3 disponible(s)
Ajouter au panierEtat : New. pp. 360.
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Évaluation du vendeur 5 sur 5 étoiles
EUR 53,52
EUR 10,50 expédition depuis Irlande vers Etats-UnisQuantité disponible : 3 disponible(s)
Ajouter au panierEtat : New. 2022. Paperback. . . . . .
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Designing Machine Learning Systems : An Iterative Process for Production-ready Applications
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
EUR 49,18
EUR 17,02 expédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 5 disponible(s)
Ajouter au panierEtat : As New. Unread book in perfect condition.
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Designing Machine Learning Systems
Edité par American Orthopsychiatric Association, 2022
ISBN 10 : 1098107969 ISBN 13 : 9781098107963
Langue: anglais
Vendeur : Books Puddle, New York, NY, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
EUR 66,54
EUR 3,44 expédition vers Etats-UnisQuantité disponible : 3 disponible(s)
Ajouter au panierEtat : New. pp. 360.
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
EUR 65,96
EUR 9,06 expédition vers Etats-UnisQuantité disponible : 3 disponible(s)
Ajouter au panierEtat : New. 2022. Paperback. . . . . . Books ship from the US and Ireland.
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Designing Machine Learning Systems
Edité par American Orthopsychiatric Association, 2022
ISBN 10 : 1098107969 ISBN 13 : 9781098107963
Langue: anglais
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Évaluation du vendeur 4 sur 5 étoiles
EUR 66,64
EUR 9,95 expédition depuis Allemagne vers Etats-UnisQuantité disponible : 3 disponible(s)
Ajouter au panierEtat : New. pp. 360.
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Designing Machine Learning Systems: An Iterative Process for Production-ready Applications
Edité par Oreilly & Associates Inc, 2022
ISBN 10 : 1098107969 ISBN 13 : 9781098107963
Langue: anglais
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
EUR 66,08
EUR 14,19 expédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 350 pages. 9.19x7.00x0.80 inches. In Stock.
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Designing Machine Learning Systems (Paperback)
Edité par O'Reilly Media, Sebastopol, 2022
ISBN 10 : 1098107969 ISBN 13 : 9781098107963
Langue: anglais
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
EUR 41,86
EUR 41,99 expédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Designing Machine Learning Systems
Edité par O'reilly Media Jul 2022, 2022
ISBN 10 : 1098107969 ISBN 13 : 9781098107963
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
EUR 65
EUR 23 expédition depuis Allemagne vers Etats-UnisQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : 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.
