TinyML Cookbook: Combine machine learning with microcontrollers to solve real-world problems, 2nd Edition

Over 70 recipes to help you develop smart applications on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano using the power of machine learning
 
Key Features
    Over 20+ new recipes, including recognizing music genres and detecting objects in a scene
    Run on-device ML with TensorFlow Lite for Microcontrollers, Edge Impulse, TVM, and scikit-learn
    Explore cutting-edge technologies, such as on-device training for updating models without data leaving the device
 
Who this book is for
This book is ideal for machine learning engineers or data scientists looking to build embedded/edge ML applications and IoT developers who want to add machine learning capabilities to their devices. If you’re an engineer, student, or hobbyist interested in exploring tinyML, then this book is your perfect companion.
 
Basic familiarity with C/C++ and Python programming is a prerequisite; however, no prior knowledge of microcontrollers is necessary to get started with this book.