Tinyml Quickstart : Machine Learning for Arduino Microcontrollers, Paperback ...

by Salerno, Simone

$77 · Offered by eBay

Tinyml Quickstart : Machine Learning for Arduino Microcontrollers, Paperback by Salerno, Simone, ISBN 9798868812934, ISBN-13 9798868812934, Like New Used, Free shipping in the US Be a part of the Tiny Machine Learning (TinyML) revolution in the ever-growing world of IoT. This book examines the concepts, workflows, and tools needed to make your projects smarter, all within the Arduino platform. You’ll start by exploring Machine learning in the context of embedded, resource-constrained devices as opposed to your powerful, gigabyte-RAM computer. You’ll review the unique challenges it poses, but also the limitless possibilities it opens. Next, you’ll work through nine projects that encompass different data types (tabular, time series, audio and images) and tasks (classification and regression). Each project comes with tips and tricks to collect, load, plot and analyse each type of data. Throughout th, you’ll apply three different approaches to TinyML: traditional algorithms (Decision Tree, Logistic Regression, SVM), Edge Impulse (a no-code online tools), and TensorFlow for Microcontrollers. Each has its strengths and weaknesses, and you will learn how to choose the most appropriate for your use case. TinyML Quickstart will provide a solid reference for all your future projects with minimal cost and effort. What You Will Learn Navigate embedded ML challenges Integrate Python with Arduino for seamless data processing Implement ML algorithms Harness the power of Tensorflow for artif

• ISBN: 9798868812934
• Condition: Fine

Found via Rare Books Intel, a search across rare-book dealers, auction houses and marketplaces worldwide.