Beginning Artificial Intelligence with the Raspberry Pi

1. Auflage 2017
ISBN: 978-1-4842-2742-8
Verlag: Apress

Buch, Englisch, 369 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 5971 g

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 ForHobbyists, 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.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Norris, Donald J.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Technische Informatik Hardware: Grundlagen und Allgemeines
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Chapter 1:   Introduction to Artificial Intelligence (AI).- Chapter 2:  Basic AI Concepts.- Chapter 3:  Expert System Demonstrations.- Chapter 4:  Games.- Chapter 5:  Fuzzy Logic Systems.- Chapter 6:  Machine Learning.- Chapter 7:  Machine Learning - Artificial Neural Networks.- Chapter 8:  Machine Learning - Deep Learning.- Chapter 9:  Machine learning - Practical ANN Demonstration .- Chapter 10: Evolutionary Computing.- Chapter 11: Behavior-Based Robotics.- Appendix A: Build Instructions for the Alfie Robot Car

Über Autor(innen)

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.