Machine Learning in Java. Bostjan Kaluza

Machine Learning in Java


Machine.Learning.in.Java.pdf
ISBN: 9781784396589 | 227 pages | 6 Mb


Download Machine Learning in Java



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



Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications. MLTK is a collection of various supervised machine learning algorithms, which is designed for directly training models and further developement. CougarSquared: Cougar^2 is a new Java library for machine learning and data mining research. A clustering algorithm creates a division of the orginal dataset. MLlib machine learning library overview for Spark 1.5.2. It's been a long time, but there is a new release. This tutorial explains the basics of setting up a classifier, training the algorithm and evaluating its performance. Java Machine Learning Library 0.1.7 released. Data Mining: Practical Machine Learning Tools and. Techniques with Java Implementations by Ian H. In Java-ML this is done with the method cluster of the Clusterer interface. Java shines brightest in language popularity. Machine-learning-samples - Sample applications built using Amazon Machine Learning. In this post I want to share some experiences in the field of “Machine Learning” my current project pointed me to lately. How about machine learning that actually helps us make strategic business decisions? Tue, 07/10/2012 - 01:35 — Thomas Abeel.





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