Machine learning cognitive iot de kumar neeraj (17 resultados)

Hardcover. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condición: New.

Hardcover. Condición: 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.…

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

Condición: As New. Unread book in perfect condition.

Hardcover. Condición: 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.…

Condición: New.

Condición: New.

Condición: New.

Condición: New. Dr. Neeraj Kumar is working as Full Professor in the Department of Computer Science and Engineering, Thapar Institute of Engineering &amp Technology, Patiala (Pb.), India. Prof. Neeraj is an internationally renowned researcher in the areas of VANET &amp.

Hardcover. Condición: Brand New. 296 pages. 9.50x6.25x0.75 inches. In Stock.

Buch. Condición: Neu. Neuware - 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.…

HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.