“Advancements and Emerging Trends in AI, ML, DS, and IoT” provides an exhaustive examination of the state-of-the-art progressions that are influencing the domains of IoT, Data Science, Artificial Intelligence (AI), and Machine Learning (ML). Designed for a wide readership including
professionals, researchers, students, and enthusiasts, this book provides a systematic guide to comprehending the profound possibilities that these interrelated fields hold.
The text provides an in-depth exploration of the most recent developments in the field, encompassing
fundamental concepts as well as sophisticated implementations. Such developments include federated
learning, edge computing, and deep learning. Insightful case studies and expert contributions shed light on the practical implications of this concept in various sectors, including finance, healthcare, and smart cities. An exhaustive examination is conducted on ethical considerations pertaining to bias, privacy, and accountability, thereby guaranteeing a comprehensive outlook on the societal ramifications of these technologies. Furthermore, the book provides a view into the future by examining forthcoming disruptive innovations, opportunities, and challenges. An invaluable resource, “Advancements and Emerging Trends in AI, ML, DS, and IoT” offers a well-balanced combination of theoretical insights and practical wisdom. It effectively guides readers through the ever-changing realm of technological innovation and motivates them to delve deeper into the subject matter.