Machine Learning in Java by Bostjan Kaluza

Machine Learning in Java



Download Machine Learning in Java

Machine Learning in Java Bostjan Kaluza ebook
ISBN: 9781784396589
Publisher: Packt Publishing, Limited
Format: pdf
Page: 227


I use R--> I think its mainly because of Hadoop and stuff written mostly in Java. This tutorial explains the basics of setting up a classifier, training the algorithm and evaluating its performance. And most of my work is in machine learning domain. The Java Machine Learning Library is a set of reference implementations of machine learning algorithms. This tutorial shows the very first step in using Java-ML. It simply give you a taste of machine learning in Java. JSAT - Java Statistical Analysis Tool, a Java library for Machine Learning. In Java-ML this is done with the method cluster of the Clusterer interface. H2O - Fast Scalable Machine Learning For Smart Applications. This is a "Hello World" example of machine learning in Java. This paper introduces the Encog library for Java and C#, a scalable, adaptable, multi-platform machine learning framework that was first released in 2008. The core of Java-ML: Instance and Dataset interfaces with their implementation can be found here. The language of data science with support for R, Python, Scala, Java and a robust REST API. A clustering algorithm creates a division of the orginal dataset.





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