Tinyml Iot Artificial Intelligence Of Things Part 1 Basics Of Machine Learning
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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! ✅ Concrete exercises on Google Colab and other free notebooks. ✅ Ready-to-use Python scripts. ✅ Detailed video tutorials for each practical project. ✅ 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 – start your Machine Learning journey today. Become an innovator! 📚 Download the book now and join the next generation of AI pioneers! 🧠 Important note: THE BOOK HAS BEEN TRANSLATED FROM ITALIAN INTO YOUR LANGUAGE USING ARTIFICIAL INTELLIGENCE. THERE MAY BE INACCURACIES, ESPECIALLY IN THE SOFTWARE CODE. That’s why at the end of each tutorial, you’ll find a link to download the correct code. Additionally, the book is sold at a very low price. I hope you’ll appreciate the gesture in publishing it — I’m sure you’ll find it very interesting. 📬 For any info or feedback: [email protected]
TinyML
Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size
Artificial Intelligence in Wireless Sensors and Instruments
This book heralds a new era in instrumentation and measurements. It combines artificial intelligence (AI) and wireless communications technologies with instrumentation and measurement systems to function as a single unit. AI has advanced considerably due to deep learning utilizing artificial neural networks, availability of large and curated datasets, implementation of a new generation of fast processors having millions of transistors in chips, advanced algorithms, competitive commercial interests, and interests of governments to gain advantages. At the same time, new and highly advanced wireless technologies open new frontiers in communication systems, both technologically and in terms of applications aspects. Advanced technologies such as 5G and 6G networks enable easy use of communication systems by billions of people as well as by billions of machine-to-machine systems. In this book, the communication principles are explained and the implementation of AI on wireless networks is discussed. Many examples are provided. The author discusses instruments and instrumentation networks, modern sensors, and transducers in detail. AI is the technology humans have created where the machines do not only assist us but also think for us creatively in some cases, excelling humans thinking and reasoning. This book includes a chapter explaining how this is done, backed up with more than 50 figures. The security issues, fairness, efficiency, and social impact and acceptance of AI are highlighted. As explained in this book, AI and wireless communications are changing our lives in many ways, including entertainment, games, social interactions, medicine and healthcare, R&D, automated living, intelligent transport systems, finance and economy, and the Internet of Things.