TinyML Foundations and Applications on Arduino Microcontrollers with MATLAB
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Product details:
- Edition number 1
- Publisher Chapman and Hall
- Date of Publication 19 October 2026
- ISBN 9781041329466
- Binding Hardback
- No. of pages392 pages
- Size 246x174 mm
- Language English
- Illustrations 337 Illustrations, black & white; 239 Halftones, black & white; 98 Line drawings, black & white; 34 Tables, black & white 700
Categories
Short description:
This book focuses on the emerging technology of AI branch, or TinyML, with wide real applications and implementations. It focuses on using TinyML to build AI embedded applications with MATLAB and deploy them in Arduino Microcontrollers. It also contains hands-on real projects to enable students to learn and build TinyML applications easily.
MoreLong description:
This book is a comprehensive guide to TinyML, focusing on its foundations and practical applications using Arduino microcontrollers and MATLAB®. It will empower readers with the knowledge and skills to implement machine learning models on resource-constrained devices, bridging the gap between cutting-edge technology and real-world applications. With an emphasis on innovation, efficiency, and accessibility, the book provides a roadmap for leveraging TinyML to solve complex problems in areas such as IoT, robotics, and embedded systems.
The content is structured to offer a seamless learning experience, starting with the fundamentals of TinyML and progressing to advanced techniques for deploying models on Arduino microcontrollers. Readers will explore topics such as data preprocessing, feature extraction, and model optimization, all within the MATLAB® environment. Practical examples and hands-on projects are included to demonstrate key concepts, from building predictive models to implementing real-time applications. Each chapter is designed to provide actionable insights, ensuring readers can apply their knowledge to diverse scenarios.
With its accessible language and practical focus, this book is a valuable tool for professionals and educators in IoT, automation, and smart systems, offering a dependable guide for learning or teaching TinyML concepts.
MoreTable of Contents:
1. Introduction 2. Introduction to Arduino Nano 33 BLE Sense MCU Board 3. Introduction to Arduino Nano 33 IoT MCU Board 4. Introduction to Machine Learning and Tiny Machine Learning 5. Introduction to Regressions and Classifications 6. Introduction to Deep Learning 7. Using TinyML to Classify Letters and Shapes with Arduino Microcontrollers 8. Using TinyML to Detect and Identify Images with Arduino Microcontrollers. Appendices.
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