Book Image

Hands-On Artificial Intelligence with Java for Beginners

By : Nisheeth Joshi
Book Image

Hands-On Artificial Intelligence with Java for Beginners

By: Nisheeth Joshi

Overview of this book

Artificial intelligence (AI) is increasingly in demand as well as relevant in the modern world, where everything is driven by technology and data. AI can be used for automating systems or processes to carry out complex tasks and functions in order to achieve optimal performance and productivity. Hands-On Artificial Intelligence with Java for Beginners begins by introducing you to AI concepts and algorithms. You will learn about various Java-based libraries and frameworks that can be used in implementing AI to build smart applications. In addition to this, the book teaches you how to implement easy to complex AI tasks, such as genetic programming, heuristic searches, reinforcement learning, neural networks, and segmentation, all with a practical approach. By the end of this book, you will not only have a solid grasp of AI concepts, but you'll also be able to build your own smart applications for multiple domains.
Table of Contents (14 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Summary


In this chapter, you learned how to train a model and how to evaluate a clustering model. Then, we looked at the concept of semi-supervised learning, and how it's different from unsupervised learning. Our semi-supervised model has been trained, and we can now make predictions based on it.

Since this was the last chapter of our book, we'll summarize what we have accomplished. You have learned the basics of machine learning; we've installed JDK, JRE, and NetBeans. We looked at search algorithms, working on and implementing two of them: one was Dijkstra's algorithm and the other one was a modification of it (the A* algorithm).

You learned about game playing, and we implemented a game playing algorithm using tic-tac-toe. We covered what a rule-based system is, and we implemented a basic rule-based system in Prolog; then, we used that rule-based system in our Java program. We installed Weka and worked with datasets. We converted a CSV file into an ARFF file, and vice versa. Then, we applied...