Practical Introduction To Tiny Machine Learning
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Practical introduction to Tiny Machine Learning
Author: Roberto Francavilla
language: en
Publisher: Roberto Francavilla
Release Date: 101-01-01
đ¤Tiny Machine Learning: Artificial Intelligence Meets the Real World đ An Introductory Guide for Beginners and Industry 4.0 Enthusiasts Imagine creating real artificial intelligence⌠and running it on a device the size of a postage stamp. With Tiny Machine Learning (Tiny ML), this is no longer science fiction: itâs the new reality of Industry 4.0 đ. đ This guide is made for complete beginners, as well as curious minds eager to explore a world thatâs transforming sectors from healthcare to agriculture, from industrial automation to mobile devices. Itâs the perfect starting point for students, tech enthusiasts, and self-learners. đ§ Inside this book: đ¤ What is Tiny ML and why itâs a game-changer đ§ How a simple neural network works đŹ How to collect data and build a dataset đ ď¸ How to train an AI model using TensorFlow + Google Colab đŚ How to deploy it on an Arduino Nano 33 BLE Sense đ Your first AI project: the Tiny ML âHello Worldâ đĄ A 100% hands-on approach: đ 9 structured lessons 𧪠22 step-by-step exercises đĽ Video projects for each topic This is more than just a book: itâs your personal AI lab in a guide â designed to teach by doing. No abstract theory, just real experimentation and tangible results, even if youâve never coded before. đŻ The future doesnât wait â itâs built. Start building yours today. With Tiny ML, intelligence gets small, powerful⌠and yours. đ§ Important note: THE BOOK HAS BEEN TRANSLATED FROM ITALIAN INTO YOUR LANGUAGE USING ARTIFICIAL INTELLIGENCE. THERE MAY BE INACCURACIES, ESPECIALLY IN THE SOFTWARE CODE. Thatâs why at the end of each tutorial, youâll find a link to download the correct code. Additionally, the book is sold at a very low price. I hope youâll appreciate the gesture in publishing it â Iâm sure youâll find it very interesting. đŹ For any info or feedback: [email protected]
TinyML+IoT = ARTIFICIAL INTELLIGENCE OF THINGS - PART 1: BASICS OF MACHINE LEARNING
Author: Roberto Francavilla
language: en
Publisher: Roberto Francavilla
Release Date: 101-01-01
The first step towards your future in Artificial Intelligence applied to the world of the Internet of Things! I am excited to introduce you to "The Basics of Machine Learning", the first volume of a complete path dedicated to the Artificial Intelligence of Things. A work designed for those who start from scratch but dream of becoming the protagonist of the Fourth Industrial Revolution! In simple, clear and practical language, I will guide you through the fascinating world of Machine Learning and Deep Learning, the technologies that are transforming our present and that will dominate our future. What you will find in this book: ⨠The mathematical foundations essential to understand Machine Learning. ⨠How the machine learning process really works. ⨠How to build your first neural network from scratch. ⨠Techniques for solving regression problems and classifying images. ⨠Winning strategies to combat overfitting and improve model performance. ⨠Design of Convolutional Neural Network (CNN) for real Computer Vision applications. Not just theory: a lot of practice, right away! â Concrete exercises on Google Colab and other free notebooks. â Ready-to-use Python scripts. â Detailed video tutorials for each practical project. â Access to extra content and updates on my YouTube channel! With this course you are not just learning: you are building real skills, ready to be applied in innovative projects, in the world of work, or in your future startup! If you're passionate about the future, don't wait â start your Machine Learning journey today. Become an innovator! đ Download the book now and join the next generation of AI pioneers! đ§ Important note: THE BOOK HAS BEEN TRANSLATED FROM ITALIAN INTO YOUR LANGUAGE USING ARTIFICIAL INTELLIGENCE. THERE MAY BE INACCURACIES, ESPECIALLY IN THE SOFTWARE CODE. Thatâs why at the end of each tutorial, youâll find a link to download the correct code. Additionally, the book is sold at a very low price. I hope youâll appreciate the gesture in publishing it â Iâm sure youâll find it very interesting. đŹ For any info or feedback: [email protected]
Machine Learning Foundations and Applications: A Practical Guide to Supervised, Unsupervised, and Reinforcement Learning
Master the algorithms powering todayâs AI revolution. This practical guide breaks down the foundations of machine learning into clear, structured lessonsâcovering supervised learning, unsupervised learning, and reinforcement learning. Whether you're a student, developer, or data professional, you'll learn how real-world models like linear regression, neural networks, support vector machines, PCA, and Q-learning actually workâmathematically and computationally. This book blends theory with implementation, offering step-by-step explanations, intuitive insights, and practical tools for applying machine learning in business, research, and product development. If you're serious about learning machine learning, this is the book that takes you from first principles to advanced conceptsâwith clarity, depth, and purpose.