Practical artificial intelligence programming with java

This book uses both best of breed open source software and the author's own libraries to introduce the reader to Artificial Intelligence (AI) technologies like genetic algorithms, neural networks, expert systems, machine learning, and statistical natural language processing (NLP)

Practical artificial intelligence programming with java

Mark Watson

United States License

2008

Abstract

Author wrote this book for both professional programmers and home hobbyists who already know how to program in Java and who want to learn practical Artificial Intelligence (AI) programming and information processing techniques.

Author have tried to make this an enjoyable book to work through. In the style of a “cook book,” the chapters can be studied in any order. Each chapter follows the same pattern: a motivation for learning a technique, some theory for the technique, and a Java example program that you can experiment with.

Contents:

+ Content introduction

+ Search

+ Reasoning

+ Semantic web

+ Expert systems

+ Genetic algorithms

+ Neural networks

+ Machine learning with weka

+ Staristical natural language processing

+ Information gathering

+ Conclusions.

Citation

Mark Watson. Practical artificial intelligence programming with java, United States License, 2008

Collection

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