Update README.md
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@ -8,7 +8,7 @@ It also contain links to the Machine Learning packages that uses rabit.
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Toolkits
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Toolkits
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====
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====
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* [KMeans Clustering](kmeans)
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* [KMeans Clustering](kmeans)
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* [XGBoost: eXtreme Gradient Boosting](https://github.com/tqchen/xgboost/tree/unity/multi-node)
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* [XGBoost: eXtreme Gradient Boosting](https://github.com/tqchen/xgboost/tree/master/multi-node)
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- xgboost is a very fast boosted tree(also known as GBDT) library, that can run more than
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- xgboost is a very fast boosted tree(also known as GBDT) library, that can run more than
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10 times faster than existing packages
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10 times faster than existing packages
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- Rabit carries xgboost to distributed enviroment, inheritating all the benefits of xgboost
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- Rabit carries xgboost to distributed enviroment, inheritating all the benefits of xgboost
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