Arduino V Machine Learning

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Arduino V: Machine Learning

Author : Steven F. Barrett
Publisher : Springer
ISBN 13 : 9783031218767
Total Pages : 0 pages
Book Rating : 4.2/5 (187 download)

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Book Synopsis Arduino V: Machine Learning by : Steven F. Barrett

Download or read book Arduino V: Machine Learning written by Steven F. Barrett and published by Springer. This book was released on 2022-12-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Arduino V: Machine Learning

Author : Steven F. Barrett
Publisher : Springer Nature
ISBN 13 : 3031218779
Total Pages : 213 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Arduino V: Machine Learning by : Steven F. Barrett

Download or read book Arduino V: Machine Learning written by Steven F. Barrett and published by Springer Nature. This book was released on 2022-12-27 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

TinyML

Author : Pete Warden
Publisher : O'Reilly Media
ISBN 13 : 1492052019
Total Pages : 504 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis TinyML by : Pete Warden

Download or read book TinyML written by Pete Warden and published by O'Reilly Media. This book was released on 2019-12-16 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Exploring Arduino

Author : Jeremy Blum
Publisher : John Wiley & Sons
ISBN 13 : 1119405300
Total Pages : 512 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Exploring Arduino by : Jeremy Blum

Download or read book Exploring Arduino written by Jeremy Blum and published by John Wiley & Sons. This book was released on 2019-10-24 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: The bestselling beginner Arduino guide, updated with new projects! Exploring Arduino makes electrical engineering and embedded software accessible. Learn step by step everything you need to know about electrical engineering, programming, and human-computer interaction through a series of increasingly complex projects. Arduino guru Jeremy Blum walks you through each build, providing code snippets and schematics that will remain useful for future projects. Projects are accompanied by downloadable source code, tips and tricks, and video tutorials to help you master Arduino. You'll gain the skills you need to develop your own microcontroller projects! This new 2nd edition has been updated to cover the rapidly-expanding Arduino ecosystem, and includes new full-color graphics for easier reference. Servo motors and stepper motors are covered in richer detail, and you'll find more excerpts about technical details behind the topics covered in the book. Wireless connectivity and the Internet-of-Things are now more prominently featured in the advanced projects to reflect Arduino's growing capabilities. You'll learn how Arduino compares to its competition, and how to determine which board is right for your project. If you're ready to start creating, this book is your ultimate guide! Get up to date on the evolving Arduino hardware, software, and capabilities Build projects that interface with other devices—wirelessly! Learn the basics of electrical engineering and programming Access downloadable materials and source code for every project Whether you're a first-timer just starting out in electronics, or a pro looking to mock-up more complex builds, Arduino is a fantastic tool for building a variety of devices. This book offers a comprehensive tour of the hardware itself, plus in-depth introduction to the various peripherals, tools, and techniques used to turn your little Arduino device into something useful, artistic, and educational. Exploring Arduino is your roadmap to adventure—start your journey today!

Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics

Author : Abhishek Kumar
Publisher : CRC Press
ISBN 13 : 1000539970
Total Pages : 241 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics by : Abhishek Kumar

Download or read book Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics written by Abhishek Kumar and published by CRC Press. This book was released on 2022-03-09 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Arduino VI

Author : Steven F. Barrett
Publisher : Springer Nature
ISBN 13 : 303147130X
Total Pages : 307 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Arduino VI by : Steven F. Barrett

Download or read book Arduino VI written by Steven F. Barrett and published by Springer Nature. This book was released on 2023-12-15 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Learning Techniques for VLSI Chip Design

Author : Abhishek Kumar
Publisher : John Wiley & Sons
ISBN 13 : 1119910471
Total Pages : 244 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Machine Learning Techniques for VLSI Chip Design by : Abhishek Kumar

Download or read book Machine Learning Techniques for VLSI Chip Design written by Abhishek Kumar and published by John Wiley & Sons. This book was released on 2023-06-26 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Intelligence in Machine Learning

Author : Vinit Kumar Gunjan
Publisher : Springer Nature
ISBN 13 : 9819979544
Total Pages : 686 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Computational Intelligence in Machine Learning by : Vinit Kumar Gunjan

Download or read book Computational Intelligence in Machine Learning written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

Author : E. S. Gopi
Publisher : Springer Nature
ISBN 13 : 9811602891
Total Pages : 643 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication by : E. S. Gopi

Download or read book Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication written by E. S. Gopi and published by Springer Nature. This book was released on 2021-05-28 with total page 643 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of best selected research papers presented at the Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2020) held during October 22nd to 24th 2020, at the Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine Learning, Deep learning and Computational intelligence algorithms (b)Wireless communication systems and (c) Mobile data applications and are included in the book. The topics include the latest research and results in the areas of network prediction, traffic classification, call detail record mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor localization, wireless sensor networks (WSN), energy minimization, routing, scheduling, resource allocation, multiple access, power control, malware detection, cyber security, flooding attacks detection, mobile apps sniffing, MIMO detection, signal detection in MIMO-OFDM, modulation recognition, channel estimation, MIMO nonlinear equalization, super-resolution channel and direction-of-arrival estimation. The book is a rich reference material for academia and industry.

Arduino: A Technical Reference

Author : J. M. Hughes
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491934506
Total Pages : 638 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Arduino: A Technical Reference by : J. M. Hughes

Download or read book Arduino: A Technical Reference written by J. M. Hughes and published by "O'Reilly Media, Inc.". This book was released on 2016-05-16 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rather than yet another project-based workbook, Arduino: A Technical Reference is a reference and handbook that thoroughly describes the electrical and performance aspects of an Arduino board and its software. This book brings together in one place all the information you need to get something done with Arduino. It will save you from endless web searches and digging through translations of datasheets or notes in project-based texts to find the information that corresponds to your own particular setup and question. Reference features include pinout diagrams, a discussion of the AVR microcontrollers used with Arduino boards, a look under the hood at the firmware and run-time libraries that make the Arduino unique, and extensive coverage of the various shields and add-on sensors that can be used with an Arduino. One chapter is devoted to creating a new shield from scratch. The book wraps up with detailed descriptions of three different projects: a programmable signal generator, a "smart" thermostat, and a programmable launch sequencer for model rockets. Each project highlights one or more topics that can be applied to other applications.

Democratization of Artificial Intelligence for the Future of Humanity

Author : Chandrasekar Vuppalapati
Publisher : CRC Press
ISBN 13 : 1000219941
Total Pages : 372 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Democratization of Artificial Intelligence for the Future of Humanity by : Chandrasekar Vuppalapati

Download or read book Democratization of Artificial Intelligence for the Future of Humanity written by Chandrasekar Vuppalapati and published by CRC Press. This book was released on 2021-01-18 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) stands out as a transformational technology of the digital age. Its practical applications are growing very rapidly. One of the chief reasons AI applications are attaining prominence, is in its design to learn continuously, from real-world use and experience, and its capability to improve its performance. It is no wonder that the applications of AI span from complex high-technology equipment manufacturing to personalized exclusive recommendations to end-users. Many deployments of AI software, given its continuous learning need, require computation platforms that are resource intense, and have sustained connectivity and perpetual power through central electrical grid. In order to harvest the benefits of AI revolution to all of humanity, traditional AI software development paradigms must be upgraded to function effectively in environments that have resource constraints, small form factor computational devices with limited power, devices with intermittent or no connectivity and/or powered by non-perpetual source or battery power. The aim this book is to prepare current and future software engineering teams with the skills and tools to fully utilize AI capabilities in resource-constrained devices. The book introduces essential AI concepts from the perspectives of full-scale software development with emphasis on creating niche Blue Ocean small form factored computational environment products.

Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning

Author : Kumar, D. Satish
Publisher : IGI Global
ISBN 13 : 1668489767
Total Pages : 386 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning by : Kumar, D. Satish

Download or read book Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning written by Kumar, D. Satish and published by IGI Global. This book was released on 2023-09-25 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence models are being used to make labor and delivery safer for mothers and newborns. Sensors are exploited to gauge health parameters, and machine learning techniques are investigated to predict the health conditions of patients to assist medical practitioners. This is a critical area of study as maternal and infant health are indispensable for a healthy society. Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning considers the recent advances, challenges, and best practices of artificial intelligence and machine learning in relation to pregnancy complications. Covering key topics such as pregnancy complications, wearable sensors, and healthcare technologies, this premier reference source is ideal for nurses, doctors, computer scientists, medical professionals, industry professionals, researchers, academicians, scholars, instructors, and students.

Getting Started with Arduino

Author : Massimo Banzi
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449309879
Total Pages : 131 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Getting Started with Arduino by : Massimo Banzi

Download or read book Getting Started with Arduino written by Massimo Banzi and published by "O'Reilly Media, Inc.". This book was released on 2011-09-13 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents an introduction to the open-source electronics prototyping platform.

Recent Advances in Mechanical Engineering

Author : Seshadev Sahoo
Publisher : Springer Nature
ISBN 13 : 9819710804
Total Pages : 739 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Recent Advances in Mechanical Engineering by : Seshadev Sahoo

Download or read book Recent Advances in Mechanical Engineering written by Seshadev Sahoo and published by Springer Nature. This book was released on with total page 739 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning

Author : Vikram Jain
Publisher : Springer Nature
ISBN 13 : 3031382307
Total Pages : 199 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning by : Vikram Jain

Download or read book Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning written by Vikram Jain and published by Springer Nature. This book was released on 2023-09-15 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores and motivates the need for building homogeneous and heterogeneous multi-core systems for machine learning to enable flexibility and energy-efficiency. Coverage focuses on a key aspect of the challenges of (extreme-)edge-computing, i.e., design of energy-efficient and flexible hardware architectures, and hardware-software co-optimization strategies to enable early design space exploration of hardware architectures. The authors investigate possible design solutions for building single-core specialized hardware accelerators for machine learning and motivates the need for building homogeneous and heterogeneous multi-core systems to enable flexibility and energy-efficiency. The advantages of scaling to heterogeneous multi-core systems are shown through the implementation of multiple test chips and architectural optimizations.

Intelligent Systems and Machine Learning

Author : Sachi Nandan Mohanty
Publisher : Springer Nature
ISBN 13 : 3031350782
Total Pages : 533 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Intelligent Systems and Machine Learning by : Sachi Nandan Mohanty

Download or read book Intelligent Systems and Machine Learning written by Sachi Nandan Mohanty and published by Springer Nature. This book was released on 2023-07-09 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes the refereed proceedings of the First EAI International Conference on Intelligent Systems and Machine Learning, ICISML 2022, held in Hyderabad, India, in December 16-17,2022. The 75 full papers presented were carefully reviewed and selected from 209 submissions. The conference focuses on Intelligent Systems and Machine Learning Applications in Health care; Digital Forensic & Network Security; Intelligent Communication Wireless Networks; Internet of Things (IoT) Applications; Social Informatics; and Emerging Applications.

Beginning Artificial Intelligence with the Raspberry Pi

Author : Donald J. Norris
Publisher : Apress
ISBN 13 : 1484227433
Total Pages : 379 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Beginning Artificial Intelligence with the Raspberry Pi by : Donald J. Norris

Download or read book Beginning Artificial Intelligence with the Raspberry Pi written by Donald J. Norris and published by Apress. This book was released on 2017-06-05 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain a gentle introduction to the world of Artificial Intelligence (AI) using the Raspberry Pi as the computing platform. Most of the major AI topics will be explored, including expert systems, machine learning both shallow and deep, fuzzy logic control, and more! AI in action will be demonstrated using the Python language on the Raspberry Pi. The Prolog language will also be introduced and used to demonstrate fundamental AI concepts. In addition, the Wolfram language will be used as part of the deep machine learning demonstrations. A series of projects will walk you through how to implement AI concepts with the Raspberry Pi. Minimal expense is needed for the projects as only a few sensors and actuators will be required. Beginners and hobbyists can jump right in to creating AI projects with the Raspberry PI using this book. What You'll Learn What AI is and—as importantly—what it is not Inference and expert systems Machine learning both shallow and deep Fuzzy logic and how to apply to an actual control system When AI might be appropriate to include in a system Constraints and limitations of the Raspberry Pi AI implementation Who This Book Is For Hobbyists, makers, engineers involved in designing autonomous systems and wanting to gain an education in fundamental AI concepts, and non-technical readers who want to understand what AI is and how it might affect their lives.