Machine Learning in Java Bostjan Kaluza
Publisher: Packt Publishing, Limited
(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. MLTK is a collection of various supervised machine learning algorithms, which is designed for directly training models and further developement. Your data is on HDFS), you may want to go the Java route for Mahout . Weka is a collection of machine learning algorithms for solving real- world data mining problems. This is a list of 25 Java Machine learning tools & libraries. Most machine learning books are very theoretical. If your dataset is massive and you need Hadoop (e.g. Submitted 9/08; Revised 1/09; Published 4/09. Java-ML: A Machine Learning Library. Weka has a collection of machine learning algorithms for data mining tasks. Sep 17, 2013 - 60 minLearn how to build and run a system that gets smarter over time by learning from data. Journal of Machine Learning Research 10 (2009) 931-934. Very few books explain how to use machine learning in practical manner, especially for Java developers.