Beginning artificial intelligence with the Raspberry Pi /

Beginning artificial intelligence with the Raspberry Pi /

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Bibliographic Details
Author / Creator:	Norris, Donald (Electrical engineer), author.
Imprint:	[Berkeley, CA] : Apress, [2017] New York, NY : Distributed to the Book trade worldwide by Springer ©2017
Description:	1 online resource (xxi, 369 pages) : illustrations (some color)
Language:	English
Series:	Technology in action Technology in action series.
Subject:	Artificial intelligence. Machine learning. Raspberry Pi (Computer) Artificial intelligence. Machine learning. Raspberry Pi (Computer) Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11307892

Hidden Bibliographic Details
ISBN:	9781484227435 1484227433 1484227425 9781484227428
Digital file characteristics:	text file PDF
Notes:	Includes index. Online resource; title from PDF title page (SpringerLink, viewed June 21, 2017).
Summary:	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.
Other form:	Print version: 9781484227428
Standard no.:	10.1007/978-1-4842-2743-5

Table of Contents:

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.