Applied TinyML: End-to-end machine learning for microcontrollers with examples by Ricardo Cid ISBN 9789365890716, 9365890713 instant download

Applied TinyML: End-to-end machine learning for microcontrollers with examples by Ricardo Cid ISBN 9789365890716, 9365890713 instant download

This book will guide you through building these smart devices. It establishes TinyML’s core foundations and a methodology for application development, from problem definition to power management and cost analysis. You will explore practical skills applications, learning sound, movement, and image classification, followed by advanced techniques like object tracking and sensor fusion, using methods such as Kalman filters. You will explore deep learning regression for predictive tasks and essential anomaly detection for identifying unusual patterns, all demonstrated through real-world use cases.

After reading this book, you will be fully equipped to design, build, and deploy complete TinyML systems, from data collection and feature extraction to model training, deployment, and hardware integration. You will gain hands-on skills and the practical engineering knowledge needed to bring intelligent low-power devices to life.

What you will learn

Build smart gadgets that recognize sounds and movements.

Learn skills beyond coding to create TinyML systems.

Design, build, and deploy TinyML applications.

Design smart systems that can learn on their own.

Make devices that understand and classify images.

See how AI and ML fit into the real-world.