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.
"synopsis" may belong to another edition of this title.
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.
"About this title" may belong to another edition of this title.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 38597679-n
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. 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 systemCovers IoT, CIoT, machine learning paradigms and modelsIncludes implementation of machine learning models in RHelp the analysts and developers to work efficiently with emerging technologies such as data analytics, data processing, Big Data, RoboticsIncludes programming codes in Python/Matlab/R alongwith practical examples, questions and multiple choice questions This book covers the different technologies of Internet, and machine learning capabilities involved in Cognitive Internet of Things. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780367359164
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 38597679
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Seller Inventory # 369519452
Quantity: 3 available
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. Seller Inventory # B9780367359164
Quantity: 1 available
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New. Seller Inventory # 38597679-n
Quantity: 10 available
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition. Seller Inventory # 38597679
Quantity: 10 available
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. Seller Inventory # 26376558723
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. Seller Inventory # 18376558729
Quantity: 3 available
Seller: AussieBookSeller, Truganina, VIC, Australia
Hardcover. Condition: new. Hardcover. 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 systemCovers IoT, CIoT, machine learning paradigms and modelsIncludes implementation of machine learning models in RHelp the analysts and developers to work efficiently with emerging technologies such as data analytics, data processing, Big Data, RoboticsIncludes programming codes in Python/Matlab/R alongwith practical examples, questions and multiple choice questions This book covers the different technologies of Internet, and machine learning capabilities involved in Cognitive Internet of Things. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9780367359164
Quantity: 1 available