Publicado por T And F India, 2023
Idioma: Inglés
Librería: Books in my Basket, New Delhi, India
EUR 19,58
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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.
ISBN 10: 103260333X ISBN 13: 9781032603339
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 31,58
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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 32,98
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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.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 67,70
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Añadir al carritoCondición: New.
EUR 62,30
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Añadir al carritoCondición: New. pages cm.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 69,16
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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, Bensenville, IL, Estados Unidos de America
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 multiple locations in the US or from the UK, depending on stock availability.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 63,49
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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 77,42
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Añadir al carritoCondición: New. pages cm.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 63,48
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Añadir al carritoCondición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 68,53
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Añadir al carritoCondición: New. In.
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 56,66
Convertir monedaCantidad disponible: 1 disponibles
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 74,91
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por T&F INDIA, 2023
ISBN 10: 103260333X ISBN 13: 9781032603339
Librería: UK BOOKS STORE, London, LONDO, Reino Unido
EUR 43,35
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Añadir al carritoPapeback. Condición: 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.
Publicado por Taylor & Francis Ltd, London, 2024
ISBN 10: 1032113219 ISBN 13: 9781032113210
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
EUR 73,44
Convertir monedaCantidad disponible: 1 disponibles
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.
EUR 88,69
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Añadir al carritoPaperback. Condición: Brand New. 368 pages. 9.18x6.12x9.21 inches. In Stock.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 132,94
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Añadir al carritoCondición: New.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 131,75
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Añadir al carritoCondición: New.
Publicado por Auerbach Publications 2021-10-29, 2021
ISBN 10: 0367635941 ISBN 13: 9780367635947
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 123,91
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Añadir al carritoHardcover. Condición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 144,85
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 136,37
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days. 185.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 148,72
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Añadir al carritoCondición: New.
EUR 144,87
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Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 136,36
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Añadir al carritoCondición: New.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 156,31
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Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 161,56
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Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 160,02
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Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 194,89
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Añadir al carritoHardcover. Condición: Brand New. 408 pages. 9.21x6.14x1.02 inches. In Stock.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 75,02
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.