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Modern approaches in machine learnin...

Gunjan, Vinit Kumar.

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Modern approaches in machine learning & cognitive science = a walkthrough /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modern approaches in machine learning & cognitive science/ edited by Vinit Kumar Gunjan, Jacek M. Zurada.
Reminder of title:	a walkthrough /
other author:	Gunjan, Vinit Kumar.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xi, 558 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learning. -
Online resource:	https://doi.org/10.1007/978-3-030-96634-8
ISBN:	9783030966348

Modern approaches in machine learning & cognitive science = a walkthrough /
Modern approaches in machine learning & cognitive sciencea walkthrough /[electronic resource] :edited by Vinit Kumar Gunjan, Jacek M. Zurada. - Cham :Springer International Publishing :2022. - xi, 558 p. :ill., digital ;24 cm. - Studies in computational intelligence,v. 10271860-9503 ;. - Studies in computational intelligence ;v. 1027..

This book provides a systematic and comprehensive overview of AI and machine learning which have got the ability to identify patterns in large and complex data sets. A remarkable success has been experienced in the last decade by emulating the brain computer interface. It presents the cognitive science methods and technologies that have played an important role at the core of practical solutions for a wide scope of tasks between handheld apps, industrial process control, autonomous vehicles, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The chapters in this book focuses on audiences interested in machine learning, cognitive and neuro-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behaviour, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions on applications of machine learning and cognitive science such as healthcare products, medical electronics, and gaming.

ISBN: 9783030966348

Standard No.: 10.1007/978-3-030-96634-8doiSubjects--Topical Terms:

533906
Machine learning.

LC Class. No.: Q325.5 / .M63 2022

Dewey Class. No.: 006.31

Modern approaches in machine learning & cognitive science = a walkthrough /
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520 $a This book provides a systematic and comprehensive overview of AI and machine learning which have got the ability to identify patterns in large and complex data sets. A remarkable success has been experienced in the last decade by emulating the brain computer interface. It presents the cognitive science methods and technologies that have played an important role at the core of practical solutions for a wide scope of tasks between handheld apps, industrial process control, autonomous vehicles, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The chapters in this book focuses on audiences interested in machine learning, cognitive and neuro-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behaviour, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions on applications of machine learning and cognitive science such as healthcare products, medical electronics, and gaming.
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