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Cloud computing for machine learning and cognitive applications / Kai Hwang.

By: Material type: TextTextLanguage: English Publication details: London : The MIT Press, 2017.Description: 601 pages ; 24 cmISBN:
  • 9780262036412
Subject(s): DDC classification:
  • 004.678 23 HWA
Contents:
Part 1. Cloud, Big Data, and Cognitive Computing Part 2. Cloud Architecture and Service Platform Design Part 3. Principles of Machine Learning and Artificial Intelligence Machine Part 4. Cloud Programming and Performance Boosters
Summary: 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.
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Item type Current library Collection Call number Status Date due Barcode
General Books General Books CUTN Central Library Generalia Non-fiction 004.678 HWA (Browse shelf(Opens below)) Available 37586

Part 1. Cloud, Big Data, and Cognitive Computing Part 2. Cloud Architecture and Service Platform Design Part 3. Principles of Machine Learning and Artificial Intelligence Machine Part 4. Cloud Programming and Performance Boosters

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.

Includes bibliographical references and index.

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