Hands-On Artificial Intelligence with Java for Beginners.

Cover......Page 1
Title Page......Page 2
Copyright and Credits......Page 3
Packt Upsell......Page 4
Contributors......Page 5
Table of Contents......Page 6
Preface......Page 8
What is machine learning?......Page 12
Differences between classification and regression......Page 16
Installing JDK and JRE......Page 18
Setting up the NetBeans IDE......Page 21
Importing Java libraries and exporting code in projects as a JAR file......Page 23
Summary......Page 29
An introduction to searching......Page 30
Implementing Dijkstra\'s search......Page 37
Understanding the notion of heuristics......Page 47
A brief introduction to the A* algorithm......Page 48
Implementing an A* algorithm......Page 55
Summary......Page 59
Introducing the min-max algorithm......Page 60
Implementing an example min-max algorithm......Page 63
Installing Prolog......Page 70
An introduction to rule-based systems with Prolog......Page 71
Setting up Prolog with Java......Page 76
Executing Prolog queries using Java......Page 78
Summary......Page 80
An introduction to Weka......Page 81
Installing and interfacing with Weka......Page 82
Calling the Weka environment into Java......Page 90
Reading and writing datasets......Page 92
Converting datasets......Page 94
Converting an ARFF file to a CSV file......Page 95
Converting a CSV file to an ARFF file......Page 98
Summary......Page 100
Filtering attributes......Page 101
Discretizing attributes......Page 104
Attribute selection......Page 109
Summary......Page 110
Developing a classifier......Page 111
Model evaluation......Page 114
Making predictions......Page 117
Loading and saving models......Page 119
Summary......Page 123
Working with k-means clustering......Page 124
Evaluating a clustering model......Page 127
The difference between unsupervised and semi-supervised learning......Page 129
Creating a classifier for semi-supervised models......Page 130
Making predictions with semi-supervised machine learning models......Page 132
Summary......Page 135
Other Books You May Enjoy......Page 136
Index......Page 139