Modern Approaches in Machine Learning & Cognitive Science: A Walkthrough

This book provides a comprehensive overview of AI and machine learning, highlighting their success in emulating the brain computer interface and their applications in various domains. It focuses on practical solutions and cutting-edge contributions, making it an essential resource for audiences interested in these fields.

Format: Paperback / softback
Length: 558 pages
Publication date: 23 April 2023
Publisher: Springer Nature Switzerland AG

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.

Weight: 866g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030966362
Edition number: 1st ed. 2022