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

Beginning Artificial Intelligence with the Raspberry Pi


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About the Book

Chapter 1 title: Introduction to Artificial Intelligence- Explain what AI is and is not. - Establish why it is important and how it may be used - What is the state of AI today and how is it developing? Chapter 2 title: Basic AI Concepts- What is inference?- Introduce the concept of the expert system- What is machine learning? Detail the various branches of ML.- Is fuzzy logic really fuzzy? Explain how it is used in real-world control situations Chapter 3 title: The Raspberry Pi and an Expert System- Introduce the Prolog language - Demonstrate a simple expert system running on the Raspberry Pi with Prolog- Simple Q&A demonstration using an expert system Chapter 4 title: Some Simple AI Games - Introduce the Python language to implement several games demonstrating AI behavior- Paper, rock, scissors- Nim (or sometimes referred to as pepple pickup)- The "wave" demonstrating emergent behavior- "Tic-Tac-Toe" and an expert system Chapter 5 title: Fuzzy Logic Control Project- Use Prolog to create FL sets- Integrate expert system knowledge into the FL control algorithms- Demonstrate FL control using a Raspberry Pi with a light sensor and LED indicators Chapter 6 title: Machine Learning - Shallow- Explore shallow learning- Simple demonstration about learning a favorite color- Naive Bayesian decisions and decision trees Chapter 7 title: Machine Learning - Deep with Neural Networks- Explore deep learning- Simple two-layer neural network- Neural network demonstration using Python
Chapter 8 title: Machine Learning - Deep with Genetic Algorithms- Explore how to create a genetic algorithm- Implement a "longest-path" algorithm for a virtual robot- Demonstrate the algorithm using a Raspberry Pi controlled "Boe-bot" robotic car
Chapter 9 title: Computer Vision - What is computer vision and how is it related to AI?- Introduction to the Wolfram Language (WL) and Mathematica as run on the Raspberry Pi- Several CV demonstrations using WL/Mathematica using the PiCamera as well raw image data from the Wolfram Research servers
Chapter 10 title: Subsumption- What is subsumption?- Explanation of a virtual subsumption robotic model- An actual subsumption demonstration using the Boe-bot robot from chapter 8.

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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Product Details
  • ISBN-13: 9781484227428
  • Publisher: Apress
  • Publisher Imprint: Apress
  • Edition: 1st ed.
  • Language: English
  • Returnable: Y
  • Spine Width: 21 mm
  • Width: 156 mm
  • ISBN-10: 1484227425
  • Publisher Date: 07 Jun 2017
  • Binding: Paperback
  • Height: 234 mm
  • No of Pages: 369
  • Series Title: English
  • Weight: 603 gr


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