Big Data Analytics for Cloud IoT and Cognitive Computing Book [PDF] Download

Download the fantastic book titled Big Data Analytics for Cloud IoT and Cognitive Computing written by Kai Hwang, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Big Data Analytics for Cloud IoT and Cognitive Computing", which was released on 14 August 2017. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Big Data Analytics for Cloud IoT and Cognitive Computing by Kai Hwang PDF

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.


Detail About Big Data Analytics for Cloud IoT and Cognitive Computing PDF

  • Author : Kai Hwang
  • Publisher : John Wiley & Sons
  • Genre : Computers
  • Total Pages : 428 pages
  • ISBN : 1119247020
  • PDF File Size : 29,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Big-Data Analytics for Cloud, IoT and Cognitive Computing

Big-Data Analytics for Cloud, IoT and Cognitive Computing
  • Publisher : John Wiley & Sons
  • File Size : 41,6 Mb
  • Release Date : 14 August 2017
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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

Cognitive Computing and Big Data Analytics

Cognitive Computing and Big Data Analytics
  • Publisher : John Wiley & Sons
  • File Size : 32,7 Mb
  • Release Date : 12 February 2015
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A comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and

Cognitive Computing for Big Data Systems Over IoT

Cognitive Computing for Big Data Systems Over IoT
  • Publisher : Springer
  • File Size : 38,9 Mb
  • Release Date : 30 December 2017
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This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT).

Big Data Analytics for Internet of Things

Big Data Analytics for Internet of Things
  • Publisher : John Wiley & Sons
  • File Size : 25,7 Mb
  • Release Date : 23 March 2021
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BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the field Big Data Analytics

Machine Learning Approach for Cloud Data Analytics in IoT

Machine Learning Approach for Cloud Data Analytics in IoT
  • Publisher : John Wiley & Sons
  • File Size : 27,5 Mb
  • Release Date : 14 July 2021
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Machine Learning Approach for Cloud Data Analytics in IoT The book covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from

Computing for Data Analysis: Theory and Practices

Computing for Data Analysis: Theory and Practices
  • Publisher : Springer Nature
  • File Size : 49,8 Mb
  • Release Date : 04 February 2023
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This book covers various cutting-edge computing technologies and their applications over data. It discusses in-depth knowledge on big data and cloud computing, quantum computing, cognitive computing, and computational biology with

Intelligent Data Analytics, IoT, and Blockchain

Intelligent Data Analytics, IoT, and Blockchain
  • Publisher : CRC Press
  • File Size : 55,8 Mb
  • Release Date : 30 October 2023
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This book focuses on data analytics with machine learning using IoT and blockchain technology. Integrating these three fields by examining their interconnections, Intelligent Data Analytics, IoT, and Blockchain examines the

Integration of Cloud Computing with Internet of Things

Integration of Cloud Computing with Internet of Things
  • Publisher : John Wiley & Sons
  • File Size : 32,5 Mb
  • Release Date : 08 March 2021
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The book aims to integrate the aspects of IoT, Cloud computing and data analytics from diversified perspectives. The book also plans to discuss the recent research trends and advanced topics