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AI Application Programming

3.58  ·  Rating Details ·  26 Ratings  ·  2 Reviews
Sortware engineer Jones demystifies techniques associated with artificial intelligence and shows how they can be useful in everyday applications. The book covers techniques including statistical algorithms, symbolic methods, evolutionary systems, and optimization methods. Each chapter covers the theory of the algorithm or technique under discussion
Paperback, 363 pages
Published April 1st 2003 by Delmar Thomson Learning (first published March 27th 2003)
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Nick Gotch
Jan 13, 2009 Nick Gotch rated it really liked it  ·  review of another edition
Anyone looking to learn AI programming should read this book. It's somewhat beginner but covers basic concepts every AI developer should know and also gets into some more advanced topics. The only down-side to it is that the code samples are in plain C (mostly) so no fancy high-level code to make things easier.
Jacinta
Jul 14, 2010 Jacinta rated it really liked it  ·  review of another edition
Shelves: software
Very quick introduction to a few algorithms, most of the book is showing and explaining the source code needed to implement them. Good for someone without much AI familiarity who wants to build something. Would have been a useful companion textbook for my AI class, but doesn't have much theory in it.
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