Machine Learning in Java Bostjan Kaluza
Publisher: Packt Publishing, Limited

If you want to learn how to use Java's machine learning libraries to gain insight from your data, this book is for you. Open-Source Deep-Learning Software for Java and Scala on Hadoop and be due to a lack of familiarity with the ideas and techniques of machine learning. Machine-learning-samples - Sample applications built using Amazon Machine Learning. Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications. The new version of Datumbox Machine Learning Framework has been it should be made easier to be used from non-Java developers. (For full disclosure: I'm also the author of a Java deep learning library, available here, and the examples in this article are implemented using the above library. The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. JSAT - Java Statistical Analysis Tool, a Java library for Machine Learning. CougarSquared: Cougar^2 is a new Java library for machine learning and data mining research. Download the second version if you already have Java 1.6 (or later) on your system. These executables will install Weka in your Program Menu. This paper introduces the Encog library for Java and C#, a scalable, adaptable, multi-platform machine learning framework that was first released in 2008. MLTK is a collection of various supervised machine learning algorithms, which is designed for directly training models and further developement. One of the most well-known repositories of machine learning related datasets is the UCI Machine Learning Repository.