Machine Learning in Java by Bostjan Kaluza
Machine Learning in Java Bostjan Kaluza ebook
Publisher: Packt Publishing, Limited
The Java Machine Learning Library is a set of reference implementations of machine learning algorithms. The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. Weka(Data Mining with Open Source Machine Learning Software in Java):- Weka is data mining toolkit and supports many data mining algorithms. Machine-learning-samples - Sample applications built using Amazon Machine Learning. 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. It is one of the most popular and effective machine learning algorithms. MLlib machine learning library overview for Spark 1.5.2. Collection of machine learning algorithms for solving data mining problems implemented in Java and open sourced under the GPL.