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, including healthcare, medical electronics, and gaming.

Format: Hardback
Length: 558 pages
Publication date: 23 April 2022
Publisher: Springer Nature Switzerland AG

This book is a comprehensive and systematic exploration of artificial intelligence (AI) and machine learning, which possess remarkable capabilities to identify patterns within vast and intricate data sets. Over the past decade, significant strides have been made in emulating the brain-computer interface, resulting in remarkable successes. This book delves into the cognitive science methods and technologies that have played a pivotal role in developing practical solutions for a diverse range of tasks, spanning from handheld applications to industrial process control, autonomous vehicles, environmental policies, life sciences, computer gaming, computational theory, and engineering development. The chapters in this book are tailored to audiences interested in machine learning, cognitive and neuro-inspired computational systems, their theories, mechanisms, and architectures, which shed light on human and animal behavior and their application to conscious and intelligent systems. In the current version, the book emphasizes the successful implementation and step-by-step explanation of practical applications within the domain. Additionally, it presents a wide array of inspiring and thought-provoking cutting-edge contributions on the applications of machine learning and cognitive science, including healthcare products, medical electronics, and gaming.

Weight: 1016g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030966331
Edition number: 1st ed. 2022