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Beginning Artificial Intelligence with the Raspberry Pi

  • Book
  • © 2017

Overview

Authors:
  1. Donald J. Norris

    1. Barrington, USA

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  • Highly readable introduction to AI—most AI books are either graduate level texts or very specific and slated to a niche market.
  • Gain a good handle of AI using the Raspberry Pi
  • Create an actual and successful AI project using the Raspberry Pi

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xxi
    Download chapter PDF

  2. Introduction to Artificial Intelligence

    • Donald J. Norris
    Pages 1-15

  3. Basic AI Concepts

    • Donald J. Norris
    Pages 17-48

  4. Expert System Demonstrations

    • Donald J. Norris
    Pages 49-76

  5. Games

    • Donald J. Norris
    Pages 77-110

  6. Fuzzy Logic System

    • Donald J. Norris
    Pages 111-143

  7. Machine Learning

    • Donald J. Norris
    Pages 145-169

  8. Machine Learning: Artificial Neural Networks

    • Donald J. Norris
    Pages 171-209

  9. Machine Learning: Deep Learning

    • Donald J. Norris
    Pages 211-247

  10. Machine Learning: Practical ANN Demonstrations

    • Donald J. Norris
    Pages 249-279

  11. Evolutionary Computing

    • Donald J. Norris
    Pages 281-312

  12. Behavior-Based Robotics

    • Donald J. Norris
    Pages 313-345

  13. Back Matter

    Pages 347-369
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Keywords

About this book

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.

Reviews

“This book is a practical introduction to the field of artificial intelligence (AI) that can serve as either a primer to the subject or a companion to theoretical studies. … Summing Up: Recommended. Lower- and upper-division undergraduates; professionals and practitioners.” (J. M. Smith, Choice, Vol. 55 (6), February, 2018)

Authors and Affiliations

  • Barrington, USA

    Donald J. Norris

About the author

Donald J. Norris has a degree in electrical engineering and an MBA specializing in production management. He teaches undergrad and grad courses in the IT subject area at Southern New Hampshire University. He also created and teaches several robotics courses there. He has over 36 years of teaching experience as an adjunct professor at a variety of colleges and universities. Mr. Norris retired from civilian government service with the U.S. Navy, where he specialized in acoustics related to nuclear submarines and associated advanced digital signal processing. Since then, he has spent more than 22 years as a professional software developer using C, C#, C++, Python, Node.js and Java, as well as 5 years as a certified IT security consultant. Mr. Norris started a consultancy, Norris Embedded Software Solutions (dba NESS LLC), that specializes in developing application solutions using microprocessors and microcontrollers. He likes to think of himself as a perpetual hobbyist and geek and is always trying out new approaches and out-of-the-box experiments. He is a licensed private pilot, photography buff, amateur radio operator, and avid runner.

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