Librería: Books From California, Simi Valley, CA, Estados Unidos de America
EUR 5,42
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Añadir al carritohardcover. Condición: Good.
Librería: Studibuch, Stuttgart, Alemania
EUR 6,99
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Añadir al carritohardcover. Condición: Gut. 500 Seiten; 9781119904885.3 Gewicht in Gramm: 1.
Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
EUR 3,17
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Añadir al carritoCondición: Very Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Publicado por Springer, Berlin, Apress, 2018
ISBN 10: 1484229878 ISBN 13: 9781484229873
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 53,27
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. Machine Learning for Decision Makersserves as an excellent resource for establishing the relationship of machine learning with IoT, big data, and cognitive and cloud computing to give you an overview of how these modern areas of computing relate to each other.This book introduces a collection of the most important concepts of machine learning and sets them in context with other vital technologies that decision makers need to know about. These concepts span the process from envisioning the problem to applying machine-learning techniques to your particular situation. This discussion also provides an insight to help deploy the results to improve decision-making.The book uses case studies and jargon busting to help you grasp the theory of machine learning quickly. You'll soon gain the big picture of machine learning and how it fits with other cutting-edge IT services. This knowledge will give you confidence in your decisions for the future of your business.What You Will LearnDiscover the machine learning, big data, and cloud and cognitive computing technology stackGain insights into machine learning concepts and practicesUnderstand business and enterprise decision-making using machine learningAbsorb machine-learning best practicesWho This Book Is ForManagers tasked with making key decisions who want to learn how and when machine learning and related technologies can help them.
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 7,84
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Añadir al carritoHardcover. Condición: Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
Original o primera edición
EUR 12,88
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Añadir al carritohardcover. Condición: New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 4,39
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Añadir al carritohardcover. Condición: 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!
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 99,66
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 102,75
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 94,59
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por John Wiley and Sons Ltd, 2017
ISBN 10: 1119247020 ISBN 13: 9781119247029
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 105,01
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days. 929.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 99,65
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Añadir al carritoCondición: New.
EUR 97,91
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Añadir al carritoGebunden. Condición: New. Kai Hwang, PhD is Professor of Electrical Engineering and Computer Science at University of Southern California, USA. He also serves as an EMC-endowed visiting Chair Professor at Tsinghua University, China. He specializes in computer architecture, wireless .
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 104,98
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Añadir al carritoCondición: New.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
EUR 118,58
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Añadir al carritoCondición: New. The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. Num Pages: 432 pages. BIC Classification: TJ; UT. Category: (P) Professional & Vocational. Dimension: 244 x 170. . . 2017. 1st Edition. Hardcover. . . . .
Librería: Majestic Books, Hounslow, Reino Unido
EUR 116,22
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Publicado por The Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 110,79
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Publicado por The Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Idioma: Inglés
Librería: Best Price, Torrance, CA, Estados Unidos de America
EUR 105,24
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Librería: One Planet Books, Columbia, MO, Estados Unidos de America
Original o primera edición
EUR 66,02
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Añadir al carritohardcover. Condición: Like New. 1st Edition. Ships in a BOX from Central Missouri! Like Brand NEW. No tears, highlighting or writing because it's never been used! May have minor shelf wear. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 119,83
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Añadir al carritoBuch. Condición: Neu. Neuware.
Publicado por John Wiley & Sons Inc, New York, 2017
ISBN 10: 1119247020 ISBN 13: 9781119247029
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
EUR 99,68
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Añadir al carritoHardcover. Condición: new. Hardcover. The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologiesCovers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programsOffers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologiesFully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learningFeatures a companion website with an instructor manual and PowerPoint slides Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource. The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: Best Price, Torrance, CA, Estados Unidos de America
EUR 110,50
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 128,50
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Añadir al carritoCondición: New.
Publicado por Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Idioma: Inglés
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 138,12
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Añadir al carritoHardback. Condición: New. As enterprise access networks evolve with a larger number of mobile users, a wide range of devices and new cloud-based applications, managing user performance on an end-to-end basis has become rather challenging. Recent advances in big data network analytics combined with AI and cloud computing are being leveraged to tackle this growing problem. AI is becoming further integrated with software that manage networks, storage, and can compute. This edited book focuses on how new network analytics, IoTs and Cloud Computing platforms are being used to ingest, analyse and correlate a myriad of big data across the entire network stack in order to increase quality of service and quality of experience (QoS/QoE) and to improve network performance. From big data and AI analytical techniques for handling the huge amount of data generated by IoT devices, the authors cover cloud storage optimization, the design of next generation access protocols and internet architecture, fault tolerance and reliability in intelligent networks, and discuss a range of emerging applications. This book will be useful to researchers, scientists, engineers, professionals, advanced students and faculty members in ICTs, data science, networking, AI, machine learning and sensing. It will also be of interest to professionals in data science, AI, cloud and IoT start-up companies, as well as developers and designers.
Publicado por Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Idioma: Inglés
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 140,39
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Añadir al carritoHardback. Condición: New. As enterprise access networks evolve with a larger number of mobile users, a wide range of devices and new cloud-based applications, managing user performance on an end-to-end basis has become rather challenging. Recent advances in big data network analytics combined with AI and cloud computing are being leveraged to tackle this growing problem. AI is becoming further integrated with software that manage networks, storage, and can compute. This edited book focuses on how new network analytics, IoTs and Cloud Computing platforms are being used to ingest, analyse and correlate a myriad of big data across the entire network stack in order to increase quality of service and quality of experience (QoS/QoE) and to improve network performance. From big data and AI analytical techniques for handling the huge amount of data generated by IoT devices, the authors cover cloud storage optimization, the design of next generation access protocols and internet architecture, fault tolerance and reliability in intelligent networks, and discuss a range of emerging applications. This book will be useful to researchers, scientists, engineers, professionals, advanced students and faculty members in ICTs, data science, networking, AI, machine learning and sensing. It will also be of interest to professionals in data science, AI, cloud and IoT start-up companies, as well as developers and designers.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 143,75
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Añadir al carritoCondición: New. The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. Num Pages: 432 pages. BIC Classification: TJ; UT. Category: (P) Professional & Vocational. Dimension: 244 x 170. . . 2017. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Publicado por The Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 130,99
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 133,82
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por The Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Idioma: Inglés
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 146,47
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Añadir al carritoCondición: New. In.
Publicado por The Institution of Engineering and Technology, 2022
ISBN 10: 1839535334 ISBN 13: 9781839535338
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 134,77
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Añadir al carritoCondición: New.