Machine Learning in Java by Bostjan Kaluza

Machine Learning in Java



Download Machine Learning in Java

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


And most of my work is in machine learning domain. –� Basic introduction to Machine Learning. However, Java is my language of choice. Weka has a collection of machine learning algorithms for data mining tasks. The Apache Mahout™ project's goal is to build an environment for quickly creating scalable performant machine learning applications. 29 Case Studies: Java Machine Learning. I use R--> I think its mainly because of Hadoop and stuff written mostly in Java. Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications. There are number of machine learning Java libraries available to help build smart data-driven applications. Kaggle provides a good Python 'getting started' example for this problem. This is a list of 25 Java Machine learning tools & libraries.





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