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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 448 pages. 9.25x8.25x1.25 inches. In Stock.
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Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 98,10
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In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: MIT Press Ltd, Cambridge, Mass., 2017
ISBN 10: 026203641X ISBN 13: 9780262036412
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Hardcover. Zustand: new. Hardcover. The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies.This is the first textbook to teach students how to build data analytic solutions on large data sets (specifically in Internet of Things applications) using cloud-based technologies for data storage, transmission and mashup, and AI techniques to analyze this data.This textbook is designed to train college students to master modern cloud computing systems in operating principles, architecture design, machine learning algorithms, programming models and software tools for big data mining, analytics, and cognitive applications. The book will be suitable for use in one-semester computer science or electrical engineering courses on cloud computing, machine learning, cloud programming, cognitive computing, or big data science. The book will also be very useful as a reference for professionals who want to work in cloud computing and data science.Cloud and Cognitive Computing begins with two introductory chapters on fundamentals of cloud computing, data science, and adaptive computing that lay the foundation for the rest of the book. Subsequent chapters cover topics including cloud architecture, mashup services, virtual machines, Docker containers, mobile clouds, IoT and AI, inter-cloud mashups, and cloud performance and benchmarks, with a focus on Google's Brain Project, DeepMind, and X-Lab programs, IBKai HwangM SyNapse, Bluemix programs, cognitive initiatives, and neurocomputers. The book then covers machine learning algorithms and cloud programming software tools and application development, applying the tools in machine learning, social media, deep learning, and cognitive applications. All cloud systems are illustrated with big data and cognitive application examples. The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Anbieter: Rarewaves USA, OSWEGO, IL, USA
Hardback. Zustand: New.
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 121,68
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New.
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
EUR 133,86
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In den WarenkorbPaperback. Zustand: 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.
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
EUR 112,14
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: New. New. book.
Anbieter: Rarewaves USA United, OSWEGO, IL, USA
EUR 128,54
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In den WarenkorbHardback. Zustand: New.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 159,25
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: As New. Unread book in perfect condition.
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
EUR 144,42
Anzahl: Mehr als 20 verfügbar
In den WarenkorbHardback. Zustand: New.
Sprache: Englisch
Verlag: MIT Press Ltd, Cambridge, Mass., 2017
ISBN 10: 026203641X ISBN 13: 9780262036412
Anbieter: AussieBookSeller, Truganina, VIC, Australien
Hardcover. Zustand: new. Hardcover. The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies.This is the first textbook to teach students how to build data analytic solutions on large data sets (specifically in Internet of Things applications) using cloud-based technologies for data storage, transmission and mashup, and AI techniques to analyze this data.This textbook is designed to train college students to master modern cloud computing systems in operating principles, architecture design, machine learning algorithms, programming models and software tools for big data mining, analytics, and cognitive applications. The book will be suitable for use in one-semester computer science or electrical engineering courses on cloud computing, machine learning, cloud programming, cognitive computing, or big data science. The book will also be very useful as a reference for professionals who want to work in cloud computing and data science.Cloud and Cognitive Computing begins with two introductory chapters on fundamentals of cloud computing, data science, and adaptive computing that lay the foundation for the rest of the book. Subsequent chapters cover topics including cloud architecture, mashup services, virtual machines, Docker containers, mobile clouds, IoT and AI, inter-cloud mashups, and cloud performance and benchmarks, with a focus on Google's Brain Project, DeepMind, and X-Lab programs, IBKai HwangM SyNapse, Bluemix programs, cognitive initiatives, and neurocomputers. The book then covers machine learning algorithms and cloud programming software tools and application development, applying the tools in machine learning, social media, deep learning, and cognitive applications. All cloud systems are illustrated with big data and cognitive application examples. The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.