Big-Data Analytics for Cloud, IoT and Cognitive Computing (Hardcover)

Kai Hwang, Min Chen

  • 出版商: Wiley
  • 出版日期: 2017-08-14
  • 定價: $1,450
  • 售價: 9.8$1,421
  • 語言: 英文
  • 頁數: 432
  • 裝訂: Hardcover
  • ISBN: 1119247020
  • ISBN-13: 9781119247029
  • 相關分類: 物聯網 IoTData Science
  • 立即出貨 (庫存=1)

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商品描述

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 technologies
  • Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs
  • Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies
  • Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning
  • Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT

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. 

商品描述(中文翻譯)

《大數據分析:雲端、物聯網和認知運算》是一本關於智能和認知運算系統以及相關技術的新興資訊的書籍。本書的主要目標是推動在智能雲端上有效進行大數據計算操作,並且完全支援物聯網感測、機器學習和分析系統。為此,作者們依據他們在該領域的原創研究和豐富經驗,描述了一種實用的方法,將大數據理論、雲端設計原則、物聯網感測、機器學習、數據分析以及Hadoop和Spark編程相結合。

第一部分聚焦於數據科學、雲端和物聯網設備的角色以及大數據計算的框架。書中探討了大數據分析、認知機器學習、雲端架構、物聯網和認知系統,並通過具體的系統設計示例展示了移動雲端-物聯網交互框架。第二部分專注於大數據應用中的機器學習、數據分析和深度學習的原則和算法。第三部分則集中介紹了從MapReduce到Hadoop、Spark和TensorFlow的雲端編程軟件庫,並描述了這些工具在商業、教育、醫療保健和社交媒體應用中的應用。

本書是第一本描述實用方法將社交、移動、分析、雲端和物聯網(SMACT)原則和技術相結合的書籍。它涵蓋了理論和計算技術,適用於計算機科學和電氣工程課程。本書提供了對未來智能和認知運算環境整合SMACT技術的極具見解。書中配有大量實例、圖表和約150個問題,以支持和強化學習。同時,本書還提供了一個配套網站,包含教師手冊和PowerPoint幻燈片,網址為www.wiley.com/go/hwangIOT。

《大數據分析:雲端、物聯網和認知運算》滿足了大學教師和學生對新興智能和認知運算系統和技術的前沿資訊的需求。從事數據科學、雲端計算和物聯網應用的專業人士也會發現本書是一個非常有用的工作資源。