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Machine Learning in Cognitive IoT
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Machine Learning in Cognitive IoT
$20500
Unit price
/
Unavailable
Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
This book is ideal for technology analysts, developers, and students interested in data analytics, machine learning, and emerging IoT technologies. It offers practical insights suitable for those seeking to enhance their skills in data processing, Big Data, and robotics within the IoT domain.
This book covers the different technologies of Internet, and machine learning capabilities involved in Cognitive Internet of Things.
Book Hero Magic formatted this description to make it easier to read. While it's new and
still learning, it may not be perfect - your
feedback is welcome!
Description
This book covers the different technologies of the 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 the real world and a 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.
- Helps analysts and developers work efficiently with emerging technologies such as data analytics, data processing, Big Data, Robotics.
- Includes programming codes in Python/Matlab/R along with practical examples, questions, and multiple-choice questions.
Book Details
INFORMATION
ISBN: 9780367359164
Publisher: Taylor & Francis Ltd
Format: Hardback
Date Published: 28 May 2020
Country: United Kingdom
Imprint: CRC Press
Illustration: 43 Tables, black and white; 90 Illustrations, black and white
Audience: Tertiary education, Professional and scholarly
DIMENSIONS
Width: 156.0mm
Height: 234.0mm
Weight: 620g
Pages: 318
About the Author
Dr. Neeraj Kumar is working as Full Professor in the Department of Computer Science and Engineering, Thapar Institute of Engineering & Technology, Patiala (Pb.), India. Prof. Neeraj is an internationally renowned researcher in the areas of VANET & CPS Smart Grid & IoT Mobile Cloud computing & Big Data and Cryptography. He has published more than 300 technical research papers in leading journals and conferences from IEEE, Elsevier, Springer, John Wiley, and Taylor and Francis. He has guided many research scholars leading to Ph.D. and M.E./M.Tech. He is member of the Cyber-Physical Systems and Security (CPSS) research group. He has research funding from DST, CSIR, UGC, and TCS. He has won best papers awards from IEEE ICC and IEEE Systems Journals 2018. He is a senior member of IEEE and is in the editorial board of various journals of repute.
Dr. Aaisha Makkar received her Bachelor of Computer Applications degree from Panjab University, Chandigarh, India in 2010 and Master of Computer Applications from National Institute of Technology (NIT), Kurukshetra, India in 2013. She had worked as an Assistant Professor in Computer Application Department of NIT, Kurukshetra. She obtained her Ph.D. degree from Computer Science and Engineering Department in Thapar Institute of Engineering &Technology, Patiala (Punjab), India. Her research interests in data mining, web mining, algorithms, machine learning and Internet of thing. She has experience of more than 10 years in teaching and research. He has more than 10 research publications in good journals of repute.
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