AI Programming with Java

Abstract

The thesis was about artificial intelligence project in Java. It started with the theoretical part of basic presentation of Java programming language, introduced its history, importance and features. The significant description of Java platform component Java Virtual Machine was involved. The definition of AI, the types of AI and the different AI level which included machine learning and deep learning were also presented. In the practical part, Weka, a software of machine learning algorithm in Java was introduced and there were two data mining and classification experiments by using Weka demonstrated. After that, a Java project with Weka’s Naïve Bayesian algorithm illustrated the principle of email classification. In the project, necessary elements such as Weka packages, the datasets and important methods were presented in detail.