Machine Learning in Java by Bostjan Kaluza

Machine Learning in Java



Download Machine Learning in Java

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


MLTK is a collection of various supervised machine learning algorithms, which is designed for directly training models and further developement. Weka is a collection of machine learning algorithms for solving real- world data mining problems. Apache Hadoop is written in java, so is Apache Mahout a fairly comprehensive machine learning library on top of hadoop. Very few books explain how to use machine learning in practical manner, especially for Java developers. This is a list of 25 Java Machine learning tools & libraries. Most machine learning books are very theoretical. There are number of machine learning Java libraries available to help build smart data-driven applications. Sep 17, 2013 - 60 minLearn how to build and run a system that gets smarter over time by learning from data. Project · Software · Book · Publications · People · Related. Our API uses the powerful and open-source Datumbox Machine Learning Framework. Weka has a collection of machine learning algorithms for data mining tasks. New open-source Machine Learning Framework written in Java. Which libraries do you use for machine learning for C/C++, Python, Python related: Orange: data mining framework. Machine-learning-samples - Sample applications built using Amazon Machine Learning. I wanted a tool in java for statistical analysis, so JSAT was born (Java using JSAT to do my assignments as I focus my masters studies in Machine Learning. Weka has a collection of machine learning algorithms for data mining It provides a GUI and a Java API for developing your own applications. Machine Learning Group at the University of Waikato. Http://downloads.sourceforge.net/java-ml/; Unpack the downloaded file in the one you will be developing your machine learning applications.





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