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Modern approaches in machine learnin...

Gunjan, Vinit Kumar.

Modern approaches in machine learning and cognitive sciencea walkthrough : latest trends in AI.Volume 2 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modern approaches in machine learning and cognitive scienceedited by Vinit Kumar Gunjan, Jacek M. Zurada.
其他題名:	a walkthrough : latest trends in AI.
其他作者:	Gunjan, Vinit Kumar.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	x, 515 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Machine learning.
電子資源:	https://doi.org/10.1007/978-3-030-68291-0
ISBN:	9783030682910$q(electronic bk.)

Modern approaches in machine learning and cognitive sciencea walkthrough : latest trends in AI.Volume 2 /
Modern approaches in machine learning and cognitive sciencea walkthrough : latest trends in AI.Volume 2 /[electronic resource] :edited by Vinit Kumar Gunjan, Jacek M. Zurada. - Cham :Springer International Publishing :2021. - x, 515 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.9561860-949X ;. - Studies in computational intelligence ;v. 216..

Using CNN to predict regressive STD drug efficacy score -- Emotion Recognition in Hindi Speech using CNN-LSTM Model -- Refinery Profit Planning via Evolutionary Many-Objective Optimization -- A Deep Learning Technique for Image inpainting with GANs -- A Comparative Study on Distributed File Systems.

This book provides a systematic and comprehensive overview of machine learning with cognitive science methods and technologies which 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 focus on readers interested in machine learning, cognitive and neuro-inspired computational systems - 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 to applications of machine learning and cognitive science such as healthcare products, medical electronics, and gaming. Overall, this book provides valuable information on effective, cutting-edge techniques and approaches for students, researchers, practitioners, and academicians working in the field of AI, neural network, machine learning, and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.

ISBN: 9783030682910$q(electronic bk.)

Standard No.: 10.1007/978-3-030-68291-0doiSubjects--Topical Terms:

188639
Machine learning.

LC Class. No.: Q325.5 / .M634 2021

Dewey Class. No.: 006.31

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