Cloud Computing for Machine Learning and Cognitive Applications (Hardcover)

Kai Hwang

  • 出版商: MIT
  • 出版日期: 2017-06-16
  • 定價: $1,490
  • 售價: 9.8$1,460
  • 語言: 英文
  • 頁數: 624
  • 裝訂: Hardcover
  • ISBN: 026203641X
  • ISBN-13: 9780262036412
  • 相關分類: Machine Learning雲端運算
  • 立即出貨 (庫存=1)

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商品描述

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.

商品描述(中文翻譯)

這是第一本教導學生如何使用基於雲端技術在大型數據集上建立數據分析解決方案的教科書。

這是第一本教導學生如何使用基於雲端技術(尤其是在物聯網應用中)進行大型數據集的數據存儲、傳輸和整合,以及使用人工智能技術對這些數據進行分析的教科書。

這本教科書旨在培訓大學生掌握現代雲計算系統的操作原理、架構設計、機器學習算法、大數據挖掘、分析和認知應用的軟件工具。該書適用於一學期的計算機科學或電氣工程課程,如雲計算、機器學習、雲編程、認知計算或大數據科學。該書也對希望從事雲計算和數據科學工作的專業人士非常有用。

《雲計算與認知計算》的前兩章介紹了雲計算、數據科學和自適應計算的基礎知識,為書中後續章節打下基礎。接下來的章節涵蓋了雲架構、整合服務、虛擬機器、Docker容器、移動雲、物聯網和人工智能、跨雲整合以及雲性能和基準,重點介紹了Google的Brain Project、DeepMind和X-Lab計劃、IBKai HwangM SyNapse、Bluemix計劃、認知計算倡議和神經計算機。該書還介紹了機器學習算法和雲編程軟件工具以及應用開發,並應用這些工具在機器學習、社交媒體、深度學習和認知應用中。所有的雲系統都通過大數據和認知應用示例進行了說明。