Editore: T And F India, 2023
Lingua: Inglese
Da: Books in my Basket, New Delhi, India
EUR 19,52
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Aggiungi al carrelloSoft cover. Condizione: 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.
Editore: H N H International Limited
ISBN 10: 103260333X ISBN 13: 9781032603339
Da: Books Puddle, New York, NY, U.S.A.
EUR 20,89
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Aggiungi al carrelloCondizione: New.
Editore: H N H International Limited
ISBN 10: 103260333X ISBN 13: 9781032603339
Da: Majestic Books, Hounslow, Regno Unito
EUR 18,45
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Aggiungi al carrelloCondizione: New.
Editore: H N H International Limited
ISBN 10: 103260333X ISBN 13: 9781032603339
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 19,87
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Aggiungi al carrelloCondizione: New.
ISBN 10: 103260333X ISBN 13: 9781032603339
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
EUR 31,48
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Aggiungi al carrelloCondizione: 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
Da: SMASS Sellers, IRVING, TX, U.S.A.
EUR 32,87
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Aggiungi al carrelloCondizione: New. Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability.
EUR 67,39
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Aggiungi al carrelloCondizione: New.
Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032113219 ISBN 13: 9781032113210
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
EUR 69,75
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
EUR 62,10
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Aggiungi al carrelloCondizione: New. pages cm.
EUR 68,94
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 77,17
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Aggiungi al carrelloCondizione: New. pages cm.
EUR 63,36
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Aggiungi al carrelloCondizione: New.
EUR 63,38
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 521.
EUR 68,40
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Aggiungi al carrelloCondizione: New. In.
EUR 71,14
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pages cm.
Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032113219 ISBN 13: 9781032113210
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 55,89
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
EUR 74,78
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: T&F INDIA, 2023
ISBN 10: 103260333X ISBN 13: 9781032603339
Da: UK BOOKS STORE, London, LONDO, Regno Unito
EUR 43,21
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Aggiungi al carrelloPapeback. Condizione: New. Brand New ! 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.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 103,77
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Aggiungi al carrelloCondizione: New.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 103,77
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Aggiungi al carrelloCondizione: New.
Da: California Books, Miami, FL, U.S.A.
EUR 117,17
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Aggiungi al carrelloCondizione: New.
Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032113219 ISBN 13: 9781032113210
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 73,31
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
EUR 89,36
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 368 pages. 9.18x6.12x9.21 inches. In Stock.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 111,31
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: California Books, Miami, FL, U.S.A.
EUR 127,82
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Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 115,44
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Aggiungi al carrelloCondizione: New. In.
Da: Books Puddle, New York, NY, U.S.A.
EUR 127,36
Convertire valutaQuantità: 4 disponibili
Aggiungi al carrelloCondizione: New. pp. 395.
EUR 132,51
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
EUR 131,32
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Aggiungi al carrelloCondizione: New.
Editore: Auerbach Publications 2021-10-29, 2021
ISBN 10: 0367635941 ISBN 13: 9780367635947
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 123,69
Convertire valutaQuantità: 5 disponibili
Aggiungi al carrelloHardcover. Condizione: New.