This book presents recent advances, emerging trends, and applications in computer vision and machine learning. It discusses major topics such as supervised learning, unsupervised learning, reinforcement learning, deep learning, neural networks, image processing, pattern recognition, object detection, real-time vision systems, data management and processing, natural language processing (NLP), and human–computer interaction in machine learning environments. The book also explores the applications of these technologies in intelligent systems, health care, robotics, cybersecurity, transportation, smart technologies, etc.

With interdisciplinary perspectives and numerous case studies on machine learning algorithms, computational statistics, mathematical optimization, computer engineering, computer science, and related fields, this book can also serve as a valuable reference for students, educators, researchers, and industry professionals interested in artificial intelligence (AI), computer vision, and machine learning technologies.