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Condition: 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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Condition: As New. Unread book in perfect condition.
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International EditionCondition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
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Building Machine Learning and Deep Learning Models on Google Cloud Platform : A Comprehensive Guide for Beginners
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
Condition: New. 2019. First Edition. paperback. . . . . .
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Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 45.68
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Building Machine Learning and Deep Learning Models on Google Cloud Platform : A Comprehensive Guide for Beginners
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New. 2019. First Edition. paperback. . . . . . Books ship from the US and Ireland.
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Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners
Language: English
Published by Apress, Incorporated, 2019
ISBN 10: 1484244699 ISBN 13: 9781484244692
Condition: New.
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Paperback. Condition: Brand New. com edition. 709 pages. 10.00x6.75x1.50 inches. In Stock.
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Taschenbuch. Condition: Neu. Building Machine Learning and Deep Learning Models on Google Cloud Platform | A Comprehensive Guide for Beginners | Ekaba Bisong | Taschenbuch | xxix | Englisch | 2019 | Apress | EAN 9781484244692 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: new. Questo è un articolo print on demand.
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Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners
Language: English
Published by Apress, Incorporated, 2019
ISBN 10: 1484244699 ISBN 13: 9781484244692
Condition: New. Print on Demand.
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Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners
Language: English
Published by Apress, Incorporated, 2019
ISBN 10: 1484244699 ISBN 13: 9781484244692
Condition: New. PRINT ON DEMAND.
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Building Machine Learning and Deep Learning Models on Google Cloud Platform
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Take a systematic approach to understanding the fundamentals of machine learning and deep learning from the ground up and how they are applied in practice. You will use this comprehensive guide for building and deploying learning models to address complex use cases while leveraging the computational resources of Google Cloud Platform.Author Ekaba Bisong shows you how machine learning tools and techniques are used to predict or classify events based on a set of interactions between variables known as features or attributes in a particular dataset. He teaches you how deep learning extends the machine learning algorithm of neural networks to learn complex tasks that are difficult for computers to perform, such as recognizing faces and understanding languages. And you will know how to leverage cloud computing to accelerate data science and machine learning deployments.Building Machine Learning and Deep Learning Models on Google Cloud Platformis dividedinto eight parts that cover the fundamentals of machine learning and deep learning, the concept of data science and cloud services, programming for data science using the Python stack, Google Cloud Platform (GCP) infrastructure and products, advanced analytics on GCP, and deploying end-to-end machine learning solution pipelines on GCP.What You'll Learn Understand the principles and fundamentals of machine learning and deep learning, the algorithms, how to use them, when to use them, and how to interpret your resultsKnow the programming concepts relevant to machine and deep learning design and development using the Python stackBuild and interpret machine and deep learning modelsUse Google Cloud Platform tools and services to develop and deploy large-scale machine learning and deep learning productsBe aware of the different facets and design choices to consider when modeling a learning problemProductionalize machine learning models into software products Who This Book Is For Beginners to the practice of data science and applied machine learning, data scientists at all levels, machine learning engineers, Google Cloud Platform data engineers/architects, and software developers 709 pp. Englisch.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. User level: Beg-Int, don t use au middle name|Pedagogically structured to make the knowledge of machine learning, deep learning, data science, and cloud computing easily accessible Equips you with skills to build and deploy large-scale learning m.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Take a systematic approach to understanding the fundamentals of machine learning and deep learning from the ground up and how they are applied in practice. You will use this comprehensive guide for building and deploying learning models to address complex use cases while leveraging the computational resources of Google Cloud Platform.Author Ekaba Bisong shows you how machine learning tools and techniques are used to predict or classify events based on a set of interactions between variables known as features or attributes in a particular dataset. He teaches you how deep learning extends the machine learning algorithm of neural networks to learn complex tasks that are difficult for computers to perform, such as recognizing faces and understanding languages. And you will know how to leverage cloud computing to accelerate data science and machine learning deployments.Building Machine Learning and Deep Learning Models on Google Cloud Platformis dividedinto eight parts that cover the fundamentals of machine learning and deep learning, the concept of data science and cloud services, programming for data science using the Python stack, Google Cloud Platform (GCP) infrastructure and products, advanced analytics on GCP, and deploying end-to-end machine learning solution pipelines on GCP.What You'll Learn Understand the principles and fundamentals of machine learning and deep learning, the algorithms, how to use them, when to use them, and how to interpret your resultsKnow the programming concepts relevant to machine and deep learning design and development using the Python stackBuild and interpret machine and deep learning modelsUse Google Cloud Platform tools and services to develop and deploy large-scale machine learning and deep learning productsBe aware of the different facets and design choices to consider when modeling a learning problemProductionalize machine learning models into software products Who This Book Is For Beginners to the practice of data science and applied machine learning, data scientists at all levels, machine learning engineers, Google Cloud Platform data engineers/architects, and software developers.
