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Hands-On Artificial Intelligence with Java for Beginners

You're reading from   Hands-On Artificial Intelligence with Java for Beginners Build intelligent apps using machine learning and deep learning with Deeplearning4j

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781789537550
Length 144 pages
Edition 1st Edition
Languages
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Author (1):
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Nisheeth Joshi Nisheeth Joshi
Author Profile Icon Nisheeth Joshi
Nisheeth Joshi
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Table of Contents (9) Chapters Close

Preface 1. Introduction to Artificial Intelligence and Java 2. Exploring Search Algorithms FREE CHAPTER 3. AI Games and the Rule-Based System 4. Interfacing with Weka 5. Handling Attributes 6. Supervised Learning 7. Semi-Supervised and Unsupervised Learning 8. Other Books You May Enjoy

Introduction to Artificial Intelligence and Java

In this chapter, we'll be talking about what machine learning is, why we do machine learning, what supervised learning is, and what unsupervised learning is. We will also understand the difference between classification and regression. Following this, we will start with the installation of JDK and JRE, and will also set up NetBeans on our system. Toward the end of the chapter, we will download and use a JAR file for our project.

Therefore, we will be covering the following topics in this chapter:

  • What is machine learning?
  • Difference between classification and regression
  • Installing JDK and JRE
  • Setting up the NetBeans IDE
  • Importing Java libraries and exporting code in projects as a JAR file

Let's get started and see what the AI problems that are related to supervised and unsupervised learning are.

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