Learn coding with Weka and Java in an Instant with Packt's new eBook

July 2013 | Java, Open Source

Packt is pleased to announce the release of Instant Weka How-to a fast and focused guide to effectively programming Weka in Java. The book is packed with practical examples and applications on how to start coding with Weka and Java, loading data, as well as selecting and filtering attributes, covering the basics and then moving on to advanced topics. This 70 page eBook is available in PDF, ePub, and Kindle formats for just $5.59 .

About the Author:

Bostjan Kaluza researches artificial intelligence and ubiquitous computing and has been working at the Jozef Stefan Institute, Slovenia since October 2008. He also spent a year as a visiting researcher at the University of Southern California, where he studied suspicious and anomalous agent behavior in the context of security applications.

Weka, or Waikato Environment for Knowledge Analysis, is a popular suite of machine learning software written in Java, developed at University of Waikato, New Zealand. It is a freely available under the GNU General Public License. The Weka workbench contains a collection of visualization tools and algorithms for data analysis and predictive modeling, together with graphical user interfaces for easy access to this functionality.

Instant Weka How-to will help readers to train a classifier, create their own classifier, test and evaluate models, construct regression models, as well as build associate rules and clusters. The contents of this book can also be used to predict house value and implement direct marketing applications.

This book is primarily aimed at Java Developers who want to use Weka's data mining capabilities to enhance their pojects. Computer Science students, data scientists, AI or Artificial Intelligence programmers, and statistical programmers will all find this book useful. For further information, please visit http://www.packtpub.com/implement-data-mining-weka-how-to/book



Instant Weka How-To
Implement cutting-edge data mining aspects in Weka to your applications

For more information, please visit: Instant Weka How-To




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