Arduino V Machine Learning

Author : Steven F. Barrett
Publisher : Springer Nature
Page : 213 pages
File Size : 53,8 Mb
Release : 2022-12-27
Category : Technology & Engineering
ISBN : 9783031218774

Get Book

Arduino V: Machine Learning by Steven F. Barrett Pdf

​This book is about the Arduino microcontroller and the Arduino concept. The visionary Arduino represented a new innovation in microcontroller hardware in 2005, the concept of open source hardware, making a broad range of computing accessible for all. This book, “Arduino V: AI and Machine Learning,” is an accessible primer on Artificial Intelligence and Machine Learning for those without a deep AI and ML background. The author concentrates on Artificial Intelligence (AI) and Machine Learning (ML) applications for microcontroller–based systems. The intent is to introduce the concepts and allow readers to practice on low cost, accessible Arduino hardware and software. Readers should find this book a starting point, an introduction, to this fascinating field. A number of references are provided for further exploration.

Author : Pete Warden,Daniel Situnayake
Publisher : "O'Reilly Media, Inc."
Page : 527 pages
File Size : 53,5 Mb
Release : 2019-12-16
Category : Computers
ISBN : 9781492051992

Get Book

TinyML by Pete Warden,Daniel Situnayake Pdf

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

Author : Gian Marco Iodice
Publisher : Packt Publishing Ltd
Page : 344 pages
File Size : 49,8 Mb
Release : 2022-04-01
Category : Computers
ISBN : 9781801812634

Get Book

TinyML Cookbook by Gian Marco Iodice Pdf

Work through over 50 recipes to develop smart applications on Arduino Nano 33 BLE Sense and Raspberry Pi Pico using the power of machine learning Key Features Train and deploy ML models on Arduino Nano 33 BLE Sense and Raspberry Pi Pico Work with different ML frameworks such as TensorFlow Lite for Microcontrollers and Edge Impulse Explore cutting-edge technologies such as microTVM and Arm Ethos-U55 microNPU Book DescriptionThis book explores TinyML, a fast-growing field at the unique intersection of machine learning and embedded systems to make AI ubiquitous with extremely low-powered devices such as microcontrollers. The TinyML Cookbook starts with a practical introduction to this multidisciplinary field to get you up to speed with some of the fundamentals for deploying intelligent applications on Arduino Nano 33 BLE Sense and Raspberry Pi Pico. As you progress, you’ll tackle various problems that you may encounter while prototyping microcontrollers, such as controlling the LED state with GPIO and a push-button, supplying power to microcontrollers with batteries, and more. Next, you’ll cover recipes relating to temperature, humidity, and the three “V” sensors (Voice, Vision, and Vibration) to gain the necessary skills to implement end-to-end smart applications in different scenarios. Later, you’ll learn best practices for building tiny models for memory-constrained microcontrollers. Finally, you’ll explore two of the most recent technologies, microTVM and microNPU that will help you step up your TinyML game. By the end of this book, you’ll be well-versed with best practices and machine learning frameworks to develop ML apps easily on microcontrollers and have a clear understanding of the key aspects to consider during the development phase.What you will learn Understand the relevant microcontroller programming fundamentals Work with real-world sensors such as the microphone, camera, and accelerometer Run on-device machine learning with TensorFlow Lite for Microcontrollers Implement an app that responds to human voice with Edge Impulse Leverage transfer learning to classify indoor rooms with Arduino Nano 33 BLE Sense Create a gesture-recognition app with Raspberry Pi Pico Design a CIFAR-10 model for memory-constrained microcontrollers Run an image classifier on a virtual Arm Ethos-U55 microNPU with microTVM Who this book is for This book is for machine learning developers/engineers interested in developing machine learning applications on microcontrollers through practical examples quickly. Basic familiarity with C/C++, the Python programming language, and the command-line interface (CLI) is required. However, no prior knowledge of microcontrollers is necessary.

Author : Atul Krishna Gupta,Dr. Siva Prasad Nandyala
Publisher : BPB Publications
Page : 346 pages
File Size : 42,8 Mb
Release : 2023-04-15
Category : Computers
ISBN : 9789355518057

Get Book

Deep Learning on Microcontrollers by Atul Krishna Gupta,Dr. Siva Prasad Nandyala Pdf

A step-by-step guide that will teach you how to deploy TinyML on microcontrollers KEY FEATURES ● Deploy machine learning models on edge devices with ease. ● Leverage pre-built AI models and deploy them without writing any code. ● Create smart and efficient IoT solutions with TinyML. DESCRIPTION TinyML, or Tiny Machine Learning, is used to enable machine learning on resource-constrained devices, such as microcontrollers and embedded systems. If you want to leverage these low-cost, low-power but strangely powerful devices, then this book is for you. This book aims to increase accessibility to TinyML applications, particularly for professionals who lack the resources or expertise to develop and deploy them on microcontroller-based boards. The book starts by giving a brief introduction to Artificial Intelligence, including classical methods for solving complex problems. It also familiarizes you with the different ML model development and deployment tools, libraries, and frameworks suitable for embedded devices and microcontrollers. The book will then help you build an Air gesture digit recognition system using the Arduino Nano RP2040 board and an AI project for recognizing keywords using the Syntiant TinyML board. Lastly, the book summarizes the concepts covered and provides a brief introduction to topics such as zero-shot learning, one-shot learning, federated learning, and MLOps. By the end of the book, you will be able to develop and deploy end-to-end Tiny ML solutions with ease. WHAT YOU WILL LEARN ● Learn how to build a Keyword recognition system using the Syntiant TinyML board. ● Learn how to build an air gesture digit recognition system using the Arduino Nano RP2040. ● Learn how to test and deploy models on Edge Impulse and Arduino IDE. ● Get tips to enhance system-level performance. ● Explore different real-world use cases of TinyML across various industries. WHO THIS BOOK IS FOR The book is for IoT developers, System engineers, Software engineers, Hardware engineers, and professionals who are interested in integrating AI into their work. This book is a valuable resource for Engineering undergraduates who are interested in learning about microcontrollers and IoT devices but may not know where to begin. TABLE OF CONTENTS 1. Introduction to AI 2. Traditional ML Lifecycle 3. TinyML Hardware and Software Platforms 4. End-to-End TinyML Deployment Phases 5. Real World Use Cases 6. Practical Experiments with TinyML 7. Advance Implementation with TinyML Board 8. Continuous Improvement 9. Conclusion

Author : Jason Test
Publisher : Unknown
Page : 248 pages
File Size : 46,5 Mb
Release : 2020-11-07
Category : Computers
ISBN : 9918951257

Get Book

PYTHON by Jason Test Pdf

Are you looking for a super-fast computer programming course? Would you like to learn the Python Programming Language and machine learning in 7 days? Do you want to increase your online business thanks to the web applications? If so, keep reading: this bundle book is for you! Finally on launch the most complete Python guide with 2 Manuscripts in 1 book: 1-Python for beginners 2-Python crash course Python will introduce you many selected practices for coding . You will discover as a beginner the world of data science, machine learning and artificial intelligence. I'd like to say that Python can be complicated, and the whole concept of Data Analysis can be daunting to starters. You have to take time and study the whole concept before you start to be proficiency. But this book will be your guide: the following list is just a tiny fraction of what you will learn in this collection bundle. 1) Python for beginners ✓ The basics of Python programming ✓ Differences among programming languages ✓ Vba, SQL, R, Python ✓ Game creation with Pyhton ✓ Easy-to-follow steps for reading and writing codes. ✓ Control flow statements and Error handling ✓ 3 best strategies with NumPy, Pandas, Matplotlib ✓Python design patterns ✓5 Most important Machine Learning Algorithms 2) Python Crash Course The basics of Python programming Differences among programming languages: Vba, SQL, R, Python 4 reasons why Python is fundamental for Data Science Introduction to some Python libraries, including NumPy, Pandas, Matplotlib. Python design patterns Business application of Python Data Analysis Optimal tools and techniques for data mining Analysis of popular Python projects templates Game creation with Pyhton Even if you have never written a programming code before, you will quickly grasp the basics thanks to visual charts and guidelines for coding. Examples and step-by-step exercises will guide you during the code-writing learning process. The description of each topic is crystal-clear and you can easily practice with related exercises and predictive modeling concepts are explained in simple terms. You will also learn 3 best tricks of writing codes. Get involved in the learning process, master Python code and its language, reach your goals without efforts and please click the ★★BUY NOW★★ button.

Author : Puneet Mathur
Publisher : Apress
Page : 284 pages
File Size : 53,7 Mb
Release : 2020-05-09
Category : Computers
ISBN : 9781484255490

Get Book

IoT Machine Learning Applications in Telecom, Energy, and Agriculture by Puneet Mathur Pdf

Apply machine learning using the Internet of Things (IoT) in the agriculture, telecom, and energy domains with case studies. This book begins by covering how to set up the software and hardware components including the various sensors to implement the case studies in Python. The case study section starts with an examination of call drop with IoT in the telecoms industry, followed by a case study on energy audit and predictive maintenance for an industrial machine, and finally covers techniques to predict cash crop failure in agribusiness. The last section covers pitfalls to avoid while implementing machine learning and IoT in these domains. After reading this book, you will know how IoT and machine learning are used in the example domains and have practical case studies to use and extend. You will be able to create enterprise-scale applications using Raspberry Pi 3 B+ and Arduino Mega 2560 with Python. What You Will Learn Implement machine learning with IoT and solve problems in the telecom, agriculture, and energy sectors with PythonSet up and use industrial-grade IoT products, such as Modbus RS485 protocol devices, in practical scenariosDevelop solutions for commercial-grade IoT or IIoT projectsImplement case studies in machine learning with IoT from scratch Who This Book Is For Raspberry Pi and Arduino enthusiasts and data science and machine learning professionals.

Author : Jason Test
Publisher : Unknown
Page : 248 pages
File Size : 54,5 Mb
Release : 2020-10-15
Category : Electronic
ISBN : 9918951249

Get Book

Python by Jason Test Pdf

Learn the art of computer programming with the most complete crash course for data science

Author : Gian Marco Iodice
Publisher : Packt Publishing Ltd
Page : 665 pages
File Size : 48,7 Mb
Release : 2023-11-29
Category : Computers
ISBN : 9781837633968

Get Book

TinyML Cookbook by Gian Marco Iodice Pdf

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 Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Over 20+ new recipes, including recognizing music genres and detecting objects in a scene Create practical examples using TensorFlow Lite for Microcontrollers, Edge Impulse, and more Explore cutting-edge technologies, such as on-device training for updating models without data leaving the device Book DescriptionDiscover the incredible world of tiny Machine Learning (tinyML) and create smart projects using real-world data sensors with the Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano. TinyML Cookbook, Second Edition, will show you how to build unique end-to-end ML applications using temperature, humidity, vision, audio, and accelerometer sensors in different scenarios. These projects will equip you with the knowledge and skills to bring intelligence to microcontrollers. You'll train custom models from weather prediction to real-time speech recognition using TensorFlow and Edge Impulse.Expert tips will help you squeeze ML models into tight memory budgets and accelerate performance using CMSIS-DSP. This improved edition includes new recipes featuring an LSTM neural network to recognize music genres and the Faster-Objects-More-Objects (FOMO) algorithm for detecting objects in a scene. Furthermore, you’ll work on scikit-learn model deployment on microcontrollers, implement on-device training, and deploy a model using microTVM, including on a microNPU. This beginner-friendly and comprehensive book will help you stay up to date with the latest developments in the tinyML community and give you the knowledge to build unique projects with microcontrollers!What you will learn Understand the microcontroller programming fundamentals Work with real-world sensors, such as the microphone, camera, and accelerometer Implement an app that responds to human voice or recognizes music genres Leverage transfer learning with FOMO and Keras Learn best practices on how to use the CMSIS-DSP library Create a gesture-recognition app to build a remote control Design a CIFAR-10 model for memory-constrained microcontrollers Train a neural network on microcontrollers 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.

Author : Dr. Ajay N.Upadhyaya,Mr.Pulicherla Siva Prasad,Dr.T.Sampradeepraj,Dr.V.Anusuya Devi
Publisher : Leilani Katie Publication
Page : 199 pages
File Size : 48,6 Mb
Release : 2024-05-16
Category : Computers
ISBN : 9789363487284

Get Book

Machine Learning Empowered: Exploring IoT Applications by Dr. Ajay N.Upadhyaya,Mr.Pulicherla Siva Prasad,Dr.T.Sampradeepraj,Dr.V.Anusuya Devi Pdf

Dr. Ajay N.Upadhyaya, Associate Professor, Department of Computer Engineering, SAL Engineering & Technical Institute, SAL Education, Near Science City, Ahmedabad, Gujarat, India. Mr.Pulicherla Siva Prasad, Assistant Professor, Department of Computer Science Engineering, R.V.R. & J.C College of Engineering, Guntur, Andhra Pradesh, India. Dr.T.Sampradeepraj, Associate Professor, Department of Computer Science Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Srivilliputhur, Virudhunagar, Tamil Nadu, India. Dr.V.Anusuya Devi, Associate Professor, Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Srivilliputhur, Virudhunagar, Tamil Nadu, India.

Author : Steven F. Barrett
Publisher : Springer Nature
Page : 307 pages
File Size : 50,5 Mb
Release : 2023-12-15
Category : Technology & Engineering
ISBN : 9783031471308

Get Book

Arduino VI by Steven F. Barrett Pdf

This book is about the Arduino microcontroller and the Arduino concept. The visionary Arduino team represented a new innovation in microcontroller hardware in 2005, the concept of open source hardware, making a broad range of computing accessible for all. This book, “Arduino VI: Bioinstrumentation,” is an accessible primer on bioinstrumentation for those without a deep instrumentation background. An understanding of basic circuit theory is an appropriate prerequisite for the book. The three main goals for the book are: explore accessible Arduino microcontroller programming and interfacing concepts; investigate the source and measurement of biomedical signals; and develop skills to design and implement biomedical instrumentation.

Author : Abhishek Kumar,Ashutosh Kumar Dubey,Sreenatha G. Anavatti,Pramod Singh Rathore
Publisher : CRC Press
Page : 242 pages
File Size : 44,5 Mb
Release : 2022-03-10
Category : Technology & Engineering
ISBN : 9781000539974

Get Book

Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics by Abhishek Kumar,Ashutosh Kumar Dubey,Sreenatha G. Anavatti,Pramod Singh Rathore Pdf

In the last two decades, machine learning has developed dramatically and is still experiencing a fast and everlasting change in paradigms, methodology, applications and other aspects. This book offers a compendium of current and emerging machine learning paradigms in healthcare informatics and reflects on their diversity and complexity. Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research. It provides many case studies and a panoramic view of data and machine learning techniques, providing the opportunity for novel insights and discoveries. The book explores the theory and practical applications in healthcare and includes a guided tour of machine learning algorithms, architecture design and interdisciplinary challenges. This book is useful for research scholars and students involved in critical condition analysis and computation models.

Author : Govind Singh Patel,Seema Nayak,Sunil Kumar Chaudhary
Publisher : CRC Press
Page : 187 pages
File Size : 46,6 Mb
Release : 2022-08-25
Category : Computers
ISBN : 9781000635928

Get Book

Machine Learning, Deep Learning, Big Data, and Internet of Things for Healthcare by Govind Singh Patel,Seema Nayak,Sunil Kumar Chaudhary Pdf

This book reviews that narrate the development of current technologies under the theme of the emerging concept of healthcare, specifically in terms of what makes healthcare more efficient and effective with the help of high-precision algorithms. The mechanism that drives it is machine learning, deep learning, big data, and Internet of Things (IoT)—the scientific field that gives machines the ability to learn without being strictly programmed. It has emerged together with big data technologies and high-performance computing to create new opportunities to unravel, quantify, and understand data-intensive processes in healthcare operational environments. This book offers comprehensive coverage of the most essential topics, including: Introduction to e-monitoring for healthcare Case studies based on big data and healthcare Intelligent learning analytics in healthcare sectors using machine learning and IoT Identifying diseases and diagnosis using machine learning and IoT Deep learning architecture and framework for healthcare using IoT Knowledge discovery from big data of healthcare-related processing Big data and IoT in healthcare Role of IoT in sustainable healthcare A heterogeneous IoT-based application for remote monitoring of physiological and environmental parameters

Author : Abhishek Kumar,Suman Lata Tripathi,K. Srinivasa Rao
Publisher : John Wiley & Sons
Page : 244 pages
File Size : 55,9 Mb
Release : 2023-06-26
Category : Computers
ISBN : 9781119910473

Get Book

Machine Learning Techniques for VLSI Chip Design by Abhishek Kumar,Suman Lata Tripathi,K. Srinivasa Rao Pdf

MACHINE LEARNING TECHNIQUES FOR VLSI CHIP DESIGN This cutting-edge new volume covers the hardware architecture implementation, the software implementation approach, the efficient hardware of machine learning applications with FPGA or CMOS circuits, and many other aspects and applications of machine learning techniques for VLSI chip design. Artificial intelligence (AI) and machine learning (ML) have, or will have, an impact on almost every aspect of our lives and every device that we own. AI has benefitted every industry in terms of computational speeds, accurate decision prediction, efficient machine learning (ML), and deep learning (DL) algorithms. The VLSI industry uses the electronic design automation tool (EDA), and the integration with ML helps in reducing design time and cost of production. Finding defects, bugs, and hardware Trojans in the design with ML or DL can save losses during production. Constraints to ML-DL arise when having to deal with a large set of training datasets. This book covers the learning algorithm for floor planning, routing, mask fabrication, and implementation of the computational architecture for ML-DL. The future aspect of the ML-DL algorithm is to be available in the format of an integrated circuit (IC). A user can upgrade to the new algorithm by replacing an IC. This new book mainly deals with the adaption of computation blocks like hardware accelerators and novel nano-material for them based upon their application and to create a smart solution. This exciting new volume is an invaluable reference for beginners as well as engineers, scientists, researchers, and other professionals working in the area of VLSI architecture development.

Author : Pratik Desai
Publisher : Packt Publishing Ltd
Page : 400 pages
File Size : 40,7 Mb
Release : 2015-02-27
Category : Computers
ISBN : 9781783285945

Get Book

Python Programming for Arduino by Pratik Desai Pdf

This is the book for you if you are a student, hobbyist, developer, or designer with little or no programming and hardware prototyping experience, and you want to develop IoT applications. If you are a software developer or a hardware designer and want to create connected devices applications, then this book will help you get started.

Author : Vinit Kumar Gunjan
Publisher : Springer Nature
Page : 686 pages
File Size : 46,8 Mb
Release : 2024-06-29
Category : Electronic
ISBN : 9789819979547

Get Book

Computational Intelligence in Machine Learning by Vinit Kumar Gunjan Pdf