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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

An introduction to Weka


Weka is a suite of machine learning software written in Java. It was developed by the University of Waikato, New Zealand. It is a free software, available under the GNU General Public License (GPL), and the algorithms can be either applied directly to a dataset or called from our own Java code.

When we download Weka and start using it, it provides us with its own GUI. We can use the GUI to work with our own datasets. If we want to enhance the capabilities of Weka, we should use it in our Java code. The official website for Weka is located at https://www.cs.waikato.ac.nz/ml/weka/. It is on Waikato University's official website. Its current version is 3. We can find all of the information about Weka on its website. We will find various sections, such as Getting started, Further information, and Developers.

 

In Getting started, the following options are available:

  • Requirements: The requirements for using Weka.
  • Download: On the Download page, we can go to the Snapshot section...
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