Machine Learning in Java by Bostjan Kaluza

Machine Learning in Java



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


If you want to learn how to use Java's machine learning libraries to gain insight from your data, this book is for you. Our API uses the powerful and open-source Datumbox Machine Learning Framework. Awesome-machine-learning - A curated list of awesome Machine Learning Java. Machine-learning-samples - Sample applications built using Amazon Machine Learning. Techniques with Java Implementations by Ian H. Weka is a collection of machine learning algorithms for solving real- world data mining problems. New open-source Machine Learning Framework written in Java. After spending decades in the shadows as a specialty discipline, machine learning is suddenly front and center as a business tool. And most of my work is in machine learning domain. I use R--> I think its mainly because of Hadoop and stuff written mostly in Java. MLTK is a collection of various supervised machine learning algorithms, which is designed for directly training models and further developement. Data Mining: Practical Machine Learning Tools and.





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