本书通过认知科学方法和技术对机器学习进行了系统全面的概述，这些方法和技术在手持应用程序、工业过程控制、自动驾驶汽车、环境政策、生命科学、玩电脑游戏、计算理论、，和工程开发。
本书中的章节主要关注对机器学习、认知和神经启发计算系统——强调人类和动物行为的理论、机制和架构，以及它们在意识和智能系统中的应用感兴趣的读者。在当前版本中，重点介绍了该领域实际应用的成功实现和逐步解释。它还为机器学习和认知科学的应用（如医疗产品、医疗电子产品和游戏）提供了一系列令人鼓舞且有趣的前沿贡献。
总的来说，这本书为在人工智能、神经网络、机器学习和认知科学领域工作的学生、研究人员、实践者和院士提供了关于有效的尖端技术和方法的宝贵信息。此外，这本书的目的是解决广泛的从业者、学生和研究人员的兴趣，他们对在各自领域应用机器学习和认知科学方法感兴趣。
Modern Approaches in Machine Learning & Cognitive Science: A Walkthrough
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.
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