Librería: WorldofBooks, Goring-By-Sea, WS, Reino Unido
EUR 17,96
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Añadir al carritoPaperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Publicado por T And F India, 2023
Idioma: Inglés
Librería: Books in my Basket, New Delhi, India
EUR 19,32
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Añadir al carritoSoft cover. Condición: New. ISBN:9781032603339,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.
Publicado por H N H International Limited
ISBN 10: 103260333X ISBN 13: 9781032603339
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 20,83
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Publicado por H N H International Limited
ISBN 10: 103260333X ISBN 13: 9781032603339
Librería: Majestic Books, Hounslow, Reino Unido
EUR 18,39
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ISBN 10: 103260333X ISBN 13: 9781032603339
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 30,09
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Añadir al carritoCondición: 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.
ISBN 10: 103260333X ISBN 13: 9781032603339
Librería: SMASS Sellers, IRVING, TX, Estados Unidos de America
EUR 30,77
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Añadir al carritoCondición: New. Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability.
Publicado por H N H International Limited
ISBN 10: 103260333X ISBN 13: 9781032603339
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 20,01
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 59,96
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Librería: Best Price, Torrance, CA, Estados Unidos de America
EUR 54,40
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EUR 61,46
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Añadir al carritoCondición: New. pages cm.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 68,22
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por Taylor & Francis Ltd, London, 2024
ISBN 10: 1032113219 ISBN 13: 9781032113210
Idioma: Inglés
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
EUR 72,23
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Añadir al carritoPaperback. Condición: new. Paperback. This book vividly illustrates all the promising and potential machine learning (ML) and deep learning (DL) algorithms through a host of real-world and real-time business use cases. Machines and devices can be empowered to self-learn and exhibit intelligent behavior. Also, Big Data combined with real-time and runtime data can lead to personalized, prognostic, predictive, and prescriptive insights. This book examines the following topics: Cognitive machines and devices Cyber physical systems (CPS) The Internet of Things (IoT) and industrial use cases Industry 4.0 for smarter manufacturing Predictive and prescriptive insights for smarter systems Machine vision and intelligence Natural interfaces K-means clustering algorithm Support vector machine (SVM) algorithm A priori algorithms Linear and logistic regression Applied Learning Algorithms for Intelligent IoT clearly articulates ML and DL algorithms that can be used to unearth predictive and prescriptive insights out of Big Data. Transforming raw data into information and relevant knowledge is gaining prominence with the availability of data processing and mining, analytics algorithms, platforms, frameworks, and other accelerators discussed in the book. Now, with the emergence of machine learning algorithms, the field of data analytics is bound to reach new heights.This book will serve as a comprehensive guide for AI researchers, faculty members, and IT professionals. Every chapter will discuss one ML algorithm, its origin, challenges, and benefits, as well as a sample industry use case for explaining the algorithm in detail. The books detailed and deeper dive into ML and DL algorithms using a practical use case can foster innovative research. Connectivity through the Internet of Things (IoT) processes and platforms combined with AI create the foundation of developing smart systems exhibiting intelligent behavior. The book illustrates promising and potential machine learning (ML) and deep learning (DL) algorithms through real-world and real-time business use cases. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 63,30
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 521.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 76,37
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 63,30
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 68,33
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 71,73
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Publicado por Taylor & Francis Ltd, London, 2024
ISBN 10: 1032113219 ISBN 13: 9781032113210
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 56,21
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Añadir al carritoPaperback. Condición: new. Paperback. This book vividly illustrates all the promising and potential machine learning (ML) and deep learning (DL) algorithms through a host of real-world and real-time business use cases. Machines and devices can be empowered to self-learn and exhibit intelligent behavior. Also, Big Data combined with real-time and runtime data can lead to personalized, prognostic, predictive, and prescriptive insights. This book examines the following topics: Cognitive machines and devices Cyber physical systems (CPS) The Internet of Things (IoT) and industrial use cases Industry 4.0 for smarter manufacturing Predictive and prescriptive insights for smarter systems Machine vision and intelligence Natural interfaces K-means clustering algorithm Support vector machine (SVM) algorithm A priori algorithms Linear and logistic regression Applied Learning Algorithms for Intelligent IoT clearly articulates ML and DL algorithms that can be used to unearth predictive and prescriptive insights out of Big Data. Transforming raw data into information and relevant knowledge is gaining prominence with the availability of data processing and mining, analytics algorithms, platforms, frameworks, and other accelerators discussed in the book. Now, with the emergence of machine learning algorithms, the field of data analytics is bound to reach new heights.This book will serve as a comprehensive guide for AI researchers, faculty members, and IT professionals. Every chapter will discuss one ML algorithm, its origin, challenges, and benefits, as well as a sample industry use case for explaining the algorithm in detail. The books detailed and deeper dive into ML and DL algorithms using a practical use case can foster innovative research. Connectivity through the Internet of Things (IoT) processes and platforms combined with AI create the foundation of developing smart systems exhibiting intelligent behavior. The book illustrates promising and potential machine learning (ML) and deep learning (DL) algorithms through real-world and real-time business use cases. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 73,97
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Best Price, Torrance, CA, Estados Unidos de America
EUR 96,14
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Librería: Best Price, Torrance, CA, Estados Unidos de America
EUR 96,14
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 102,69
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 102,69
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Librería: California Books, Miami, FL, Estados Unidos de America
EUR 115,96
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Añadir al carritoCondición: New.
EUR 87,87
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Añadir al carritoPaperback. Condición: Brand New. 368 pages. 9.18x6.12x9.21 inches. In Stock.
Publicado por Taylor & Francis Ltd, London, 2024
ISBN 10: 1032113219 ISBN 13: 9781032113210
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
EUR 73,22
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Añadir al carritoPaperback. Condición: new. Paperback. This book vividly illustrates all the promising and potential machine learning (ML) and deep learning (DL) algorithms through a host of real-world and real-time business use cases. Machines and devices can be empowered to self-learn and exhibit intelligent behavior. Also, Big Data combined with real-time and runtime data can lead to personalized, prognostic, predictive, and prescriptive insights. This book examines the following topics: Cognitive machines and devices Cyber physical systems (CPS) The Internet of Things (IoT) and industrial use cases Industry 4.0 for smarter manufacturing Predictive and prescriptive insights for smarter systems Machine vision and intelligence Natural interfaces K-means clustering algorithm Support vector machine (SVM) algorithm A priori algorithms Linear and logistic regression Applied Learning Algorithms for Intelligent IoT clearly articulates ML and DL algorithms that can be used to unearth predictive and prescriptive insights out of Big Data. Transforming raw data into information and relevant knowledge is gaining prominence with the availability of data processing and mining, analytics algorithms, platforms, frameworks, and other accelerators discussed in the book. Now, with the emergence of machine learning algorithms, the field of data analytics is bound to reach new heights.This book will serve as a comprehensive guide for AI researchers, faculty members, and IT professionals. Every chapter will discuss one ML algorithm, its origin, challenges, and benefits, as well as a sample industry use case for explaining the algorithm in detail. The books detailed and deeper dive into ML and DL algorithms using a practical use case can foster innovative research. Connectivity through the Internet of Things (IoT) processes and platforms combined with AI create the foundation of developing smart systems exhibiting intelligent behavior. The book illustrates promising and potential machine learning (ML) and deep learning (DL) algorithms through real-world and real-time business use cases. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 111,18
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Librería: California Books, Miami, FL, Estados Unidos de America
EUR 126,50
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 115,31
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 126,04
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Añadir al carritoCondición: New. pp. 395.