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
Page: 227
Format: pdf
ISBN: 9781784396589


Software Development Engineer - Machine Learning data normalization, search relevance, recommendation systems, and machine learning. 29 Case Studies: Java Machine Learning. If you want to learn how to use Java's machine learning libraries to gain insight from your data, this book is for you. The new version of Datumbox Machine Learning Framework has been it should be made easier to be used from non-Java developers. Collection of machine learning algorithms for solving data mining problems implemented in Java and open sourced under the GPL. It simply give you a taste of machine learning in Java. It is one of the most popular and effective machine learning algorithms. This is a "Hello World" example of machine learning in Java. MLlib is Apache Spark's scalable machine learning library, with APIs in Java, Scala and Python. After spending decades in the shadows as a specialty discipline, machine learning is suddenly front and center as a business tool. Scikit-learn: machine learning in Python PredictionIO, a machine learning server for developers and ML engineers. MLTK is a collection of various supervised machine learning algorithms, which is designed for directly training models and further developement.





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