This book covers both the traditional and modern uses of Artificial Intelligence and soft computing. It is intended to provide a broad... Læs mere
What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to the machine learning theoretical concepts and approaches that are used in predictive data analytics through practical applications and case studies.
Learn by doing with this guide to classical and contemporary machine learning approaches to time series data... Læs mere
This book asks how an unconditional welcome to strangers is both challenged and made possible by new digital technologies, machine learning, and human-computer interaction (HCI).
This book, the first of its kind, bridges the gap between the increasingly interlinked fields of nanophotonics and artificial intelligence (AI).
This textbook is an introductory guide to applied machine learning, specifically for biology students.
Federated Learning: A Comprehensive Overview of Methods and Applications presents an in-depth discussion of the most important... Læs mere
This book explores new and novel applications of machine learning, deep learning, and artificial intelligence that are related to major challenges in the field of cybersecurity.
This book covers the medical condition of diabetic patients, their early symptoms and methods conventionally used for diagnosing and monitoring diabetes.