AI Application Programming

Front Cover
Charles River Media, 2003 - Computers - 363 pages
4 Reviews
Annotation This book demystifies the techniques associated with the field of artificial intelligence and covers a wide variety of techniques currently defined as "AI." Many books on artificial intelligence provide tutorials for AI methods, but the applications are restricted to toy problems that have little relevance in the real world. AI Application Programming covers theory, but teaches developers how these techniques can be applied in their own designs. The book is split by AI subfields (statistical methods, symbolic methods, etc.) to further refine the methods and applications for the reader. Each chapter provides a detailed discussion of the source code used.

What people are saying - Write a review

Review: AI Application Programming (Programming Series)

User Review  - Nick Gotch - Goodreads

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 ... Read full review

References to this book

All Book Search results »

About the author (2003)

M. Tim Jones is a firmware architect with deep Hadoop and Pig experience. He's the author of "Artificial Intelligence: A Systems Approach", "GNU/Linux Application Programming", "AI Application Programming", "BSD Sockets Programming from a Multilanguage Perspective", and over 100 articles over a range of technical topics including Linux, Open-Source, Hadoop, the Hadoop ecosystem, and data science and visualization.

Bibliographic information