Machine Learning in Java by Bostjan Kaluza

Machine Learning in Java



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


MLTK is a collection of various supervised machine learning algorithms, which is designed for directly training models and further developement. Java shines brightest in language popularity. Which libraries do you use for machine learning for C/C++, Python, Python related: Orange: data mining framework. (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. Http://downloads.sourceforge.net/java-ml/; Unpack the downloaded file in the one you will be developing your machine learning applications. This list will be updated constantly. How about machine learning that actually helps us make strategic business decisions? Here are the best machine learning resources I have found. Typical usage of a feature scoring algorithm is shown in the snippet below. This tutorial explains the basics of setting up a classifier, training the algorithm and evaluating its performance. Machine-learning-samples - Sample applications built using Amazon Machine Learning. A Course In Machine Learning: a very concise. This method will return the score for the supplied feature index. The core of Java-ML: Instance and Dataset interfaces with their implementation can be found here.





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