Update README.md
Added MEKA - an extension to Weka for multi-label classification.
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@ -206,6 +206,7 @@ For a list of free machine learning books available for download, go [here](http
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* [Mahout](https://github.com/apache/mahout) - Distributed machine learning
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* [Stanford Classifier](http://nlp.stanford.edu/software/classifier.shtml) - A classifier is a machine learning tool that will take data items and place them into one of k classes.
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* [Weka](http://www.cs.waikato.ac.nz/ml/weka/) - Weka is a collection of machine learning algorithms for data mining tasks
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* [Meka](http://meka.sourceforge.net/) - An open source implementation of methods for multi-label classification and evaluation (extension to Weka).
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* [ORYX](https://github.com/cloudera/oryx) - Simple real-time large-scale machine learning infrastructure.
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* [H2O](https://github.com/0xdata/h2o) - ML engine that supports distributed learning on data stored in HDFS.
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* [WalnutiQ](https://github.com/WalnutiQ/WalnutiQ) - object oriented model of the human brain
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