Machine Learning in Java. Bostjan Kaluza

Machine Learning in Java


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


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



This method will return the score for the supplied feature index. This tutorial shows you how you can test the performance of a classifier on a data set. MLTK is a collection of various supervised machine learning algorithms, which is designed for directly training models and further developement. This tutorial will introduce two classes. CougarSquared: Cougar^2 is a new Java library for machine learning and data mining research. At the moment the library supports any type of field formatted file, i.e. Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications. Typical usage of a feature scoring algorithm is shown in the snippet below. This tutorial shows how you can read data from a number of file types. The Apache Mahout™ project's goal is to build an environment for quickly creating scalable performant machine learning applications. MLlib is Apache Spark's scalable machine learning library, with APIs in Java, Scala and Python. This is why in this blog machine learning will be introduced using Smile, a machine learning library that can be used both in Java and Scala. Weka has a collection of machine learning algorithms for data mining tasks. (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. Awesome-machine-learning - A curated list of awesome Machine Learning Java. The new version of Datumbox Machine Learning Framework has been it should be made easier to be used from non-Java developers. This is a list of 25 Java Machine learning tools & libraries. The Cognitive Foundry is an open-source Java library for building intelligent systems using machine learning.





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