Machine Learning in Cognitive IoT

1st Edition

Neeraj Kumar, Aaisha Makkar

CRC Press
January 28, 2020 Forthcoming
Reference - 256 Pages - 90 B/W Illustrations
ISBN 9780367359164 - CAT# 326035

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Summary

This book covers the different technologies of Internet, and machine learning capabilities involved in Cognitive Internet of Things (CIoT). Machine learning is explored by covering all the technical issues and various models used for data analytics during decision making at different steps. It initiates with IoT basics, its history, architecture and applications followed by capabilities of CIoT in real world and description of machine learning (ML) in data mining. Further, it explains various ML techniques and paradigms with different phases of data pre-processing and feature engineering. Each chapter includes sample questions to help understand concepts of ML used in different applications.

  • Explains integration of Machine Learning in IoT for building an efficient decision support system
  • Covers IoT, CIoT, machine learning paradigms and models
  • Includes implementation of machine learning models in R
  • Help the analysts and developers to work efficiently with emerging technologies such as data analytics, data processing, Big Data, Robotics
  • Includes programming codes in Python/Matlab/R alongwith practical examples, questions and multiple choice questions

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