Tiny Machine Learning: Design Principles And Applications

Tiny Machine Learning: Design Principles and Applications provides a comprehensive overview of TinyML concepts, design principles, and real-world applications for low-power IoT devices. Covering topics such as on-device training, lightweight frameworks, security, privacy, power efficiency, and real-time applications, the book explores how TinyML enables intelligent processing on resource-constrained microcontrollers. It is an essential resource for researchers, engineers, students, and professionals working in machine learning, IoT, and embedded systems.