Machine Learning in Java by Bostjan Kaluza

Machine Learning in Java



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


Weka has a collection of machine learning algorithms for data mining It provides a GUI and a Java API for developing your own applications. This tutorial shows how you can read data from a number of file types. At the moment the library supports any type of field formatted file, i.e. Most machine learning books are very theoretical. MLlib is Apache Spark's scalable machine learning library, with APIs in Java, Scala and Python. This paper introduces the Encog library for Java and C#, a scalable, adaptable, multi-platform machine learning framework that was first released in 2008. Trusted network research answer to 'Great Machine Learning Resources' An Introduction to Deep Learning (in Java): From Perceptrons to Deep Networks. –� Basic introduction to Machine Learning. Software Development Engineer - Machine Learning data normalization, search relevance, recommendation systems, and machine learning. Amazon.com: Machine Learning in Java eBook: Boštjan Kaluža: Kindle Store. Very few books explain how to use machine learning in practical manner, especially for Java developers. The Java Data Mining Package is a library for Machine Learning and Big Data Analytics with support for classification, clustering, and much more.





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