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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 FREE CHAPTER 2. Exploring Search Algorithms 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

Handling Attributes

In this chapter, you will learn how to filter attributes, how to discretize attributes, and how to perform attribute selection. When we filter attributes, we will want to remove certain attributes from our datasets. To do so, we will use a Remove class from an unsupervised filters package, along with an attribute called -R. In this chapter, we will also use discretization and binning.

We will cover the following topics in this chapter:

  • Filtering attributes
  • Discretizing attributes
  • Attribute selection

Let's begin!

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