EUR 47,13
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 44,03
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 44,84
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Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 41,33
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Building Machine Learning Powered Applications: Going from Idea to Product 0.92. Book.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 54,14
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Aggiungi al carrelloCondizione: New. 2020. Paperback. . . . . .
Da: California Books, Miami, FL, U.S.A.
EUR 50,43
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 51,35
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 209.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 42,21
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 51,35
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 44,02
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Da: moluna, Greven, Germania
EUR 53,75
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Aggiungi al carrelloCondizione: New. Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you ll build an example ML-driven application from initial idea to deployed product.Über den Autor.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 48,90
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 67,50
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Aggiungi al carrelloCondizione: New. 2020. Paperback. . . . . . Books ship from the US and Ireland.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 51,47
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Revaluation Books, Exeter, Regno Unito
EUR 66,45
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Aggiungi al carrelloPaperback. Condizione: Brand New. 238 pages. 9.00x6.75x0.25 inches. In Stock.
Da: Majestic Books, Hounslow, Regno Unito
EUR 70,99
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Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 67,03
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers--including experienced practitioners and novices alike--will learn the tools, best practices, and challenges involved in building a real-world ML application step by step.Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Part I teaches you how to plan an ML application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies.This book will help you: Define your product goal and set up a machine learning problemBuild your first end-to-end pipeline quickly and acquire an initial datasetTrain and evaluate your ML models and address performance bottlenecksDeploy and monitor your models in a production environment.
Da: Books Puddle, New York, NY, U.S.A.
EUR 79,62
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Aggiungi al carrelloCondizione: New.
Da: Russell Books, Victoria, BC, Canada
EUR 60,51
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Aggiungi al carrelloSoftcover. Condizione: New. Special order direct from the distributor.
Da: Lakeside Books, Benton Harbor, MI, U.S.A.
EUR 40,98
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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: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 44,16
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Aggiungi al carrelloCondizione: New.
Editore: O'Reilly Media, Sebastopol, 2020
ISBN 10: 149204511X ISBN 13: 9781492045113
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 83,28
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers-including experienced practitioners and novices alike-will learn the tools, best practices, and challenges involved in building a real-world ML application step by step.Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Part I teaches you how to plan an ML application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies.This book will help you:Define your product goal and set up a machine learning problemBuild your first end-to-end pipeline quickly and acquire an initial datasetTrain and evaluate your ML models and address performance bottlenecksDeploy and monitor your models in a production environment Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, youll build an example ML-driven application from initial idea to deployed product. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: HPB-Red, Dallas, TX, U.S.A.
EUR 25,03
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Aggiungi al carrelloPaperback. Condizione: 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!
Editore: O'Reilly Media, Sebastopol, 2020
ISBN 10: 149204511X ISBN 13: 9781492045113
Lingua: Inglese
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
EUR 55,89
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers-including experienced practitioners and novices alike-will learn the tools, best practices, and challenges involved in building a real-world ML application step by step.Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Part I teaches you how to plan an ML application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies.This book will help you:Define your product goal and set up a machine learning problemBuild your first end-to-end pipeline quickly and acquire an initial datasetTrain and evaluate your ML models and address performance bottlenecksDeploy and monitor your models in a production environment Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, youll build an example ML-driven application from initial idea to deployed product. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 57,02
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 209.
Da: Revaluation Books, Exeter, Regno Unito
EUR 61,33
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 238 pages. 9.00x6.75x0.25 inches. In Stock. This item is printed on demand.