The rapid advancements in Artificial Intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) are reshaping the way we interact with technology, solve complex problems, and build intelligent systems. These emerging fields are at the forefront of innovation, driving automation, connectivity, and data-driven decision-making across industries. The edited volume before you, "Principles of Artificial Intelligence, IoT, and Machine Learning," brings together insightful contributions from researchers and experts who are actively shaping these transformative domains.

This book provides a comprehensive exploration of the fundamental principles, methodologies, and real-world applications of AI, IoT, and ML. From theoretical foundations to practical implementations, the chapters cover a broad spectrum of topics, including intelligent automation, predictive analytics, deep learning, IoT-enabled smart systems, and ethical considerations in AI. By bridging the gap between theory and practice, this book offers valuable insights into how these technologies can be leveraged to solve modern challenges.

Our aim as editors is to present a well-rounded perspective on the interconnected nature of AI, IoT, and ML. The authors, through their research and expertise, provide a deep understanding of the evolving landscape and the innovative possibilities these fields bring to various sectors, including healthcare, finance, smart cities, cybersecurity, and industrial automation.

This compilation serves as a valuable resource for researchers, practitioners, students, and technology enthusiasts, capturing the current advancements while also inspiring further innovation and exploration. Whether you are new to the field or an experienced professional, we hope this book acts as an indispensable guide to navigating the complexities of AI, IoT, and ML in the digital era.