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Cloud Computing for Machine Learning and Cognitive Applications by Kai Hwang
USD103,09
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Gratis Standard Shipping.
Ubicado en: Sparks, Nevada, Estados Unidos
Entrega:
Entrega prevista entre el jue. 2 oct. y el mié. 8 oct. a 94104
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N.º de artículo de eBay:282872137904
Última actualización el 22 sep 2025 19:18:46 H.EspVer todas las actualizacionesVer todas las actualizaciones
Características del artículo
- Estado
- Book Title
- Cloud Computing for Machine Learning and Cognitive Applications
- Publication Date
- 2017-06-16
- Pages
- 624
- ISBN
- 9780262036412
Acerca de este producto
Product Identifiers
Publisher
MIT Press
ISBN-10
026203641X
ISBN-13
9780262036412
eBay Product ID (ePID)
14038271020
Product Key Features
Number of Pages
624 Pages
Language
English
Publication Name
Cloud Computing for Machine Learning and Cognitive Applications
Publication Year
2017
Subject
Cloud Computing, Intelligence (Ai) & Semantics, Computer Science, Databases / Data Mining
Type
Textbook
Subject Area
Computers
Format
Hardcover
Dimensions
Item Height
1.1 in
Item Weight
41.7 Oz
Item Length
9.3 in
Item Width
8.3 in
Additional Product Features
Intended Audience
Trade
LCCN
2016-057874
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
004.6782
Synopsis
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.
LC Classification Number
QA76.585.H95 2017
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