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Machine learning in cognitive IoT

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning in cognitive IoTby Neeraj Kumar, Aaisha Makkar.
作者:	Kumar, Neeraj.
其他作者:	Makkar, Aaisha.
出版者:	Boca Raton, FL :CRC Press,c2020.
面頁冊數:	1 online resource (xxii, 296 p.) :ill.
標題:	Embedded computer systems.
電子資源:	https://www.taylorfrancis.com/books/9780429342615
ISBN:	9780429342615$q(ebook)

Machine learning in cognitive IoT
Kumar, Neeraj.

Machine learning in cognitive IoT[electronic resource] /by Neeraj Kumar, Aaisha Makkar. - Boca Raton, FL :CRC Press,c2020. - 1 online resource (xxii, 296 p.) :ill.

Includes bibliographical references and index.

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.

ISBN: 9780429342615$q(ebook)Subjects--Topical Terms:

184402
Embedded computer systems.

LC Class. No.: TK7895.E42 / K86 2020

Dewey Class. No.: 006.22

Machine learning in cognitive IoT
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504 $a Includes bibliographical references and index.
520 $a 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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