UID:
almahu_9948689691102882
Format:
X, 515 p. 234 illus., 154 illus. in color.
,
online resource.
Edition:
1st ed. 2021.
ISBN:
9783030682910
Series Statement:
Studies in Computational Intelligence, 956
Content:
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. .
Note:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783030682903
Additional Edition:
Printed edition: ISBN 9783030682927
Additional Edition:
Printed edition: ISBN 9783030682934
Language:
English
DOI:
10.1007/978-3-030-68291-0
URL:
https://doi.org/10.1007/978-3-030-68291-0
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