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@ -15,7 +15,7 @@ Distributed Version: [Distributed XGBoost](multi-node)
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Notes on the Code: [Code Guide](src)
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Notes on the Code: [Code Guide](src)
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[Documentation](https://github.com/dmlc/xgboost/doc)
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Documentation: [Documentation of xgboost](doc/README.md)
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Learning about the model: [Introduction to Boosted Trees](http://homes.cs.washington.edu/~tqchen/pdf/BoostedTree.pdf)
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Learning about the model: [Introduction to Boosted Trees](http://homes.cs.washington.edu/~tqchen/pdf/BoostedTree.pdf)
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* This slide is made by Tianqi Chen to introduce gradient boosting in a statistical view.
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* This slide is made by Tianqi Chen to introduce gradient boosting in a statistical view.
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@ -27,9 +27,8 @@ What's New
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* [External Memory Version](doc/external_memory.md)
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* [External Memory Version](doc/external_memory.md)
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* XGBoost wins [WWW2015 Microsoft Malware Classification Challenge (BIG 2015)](http://www.kaggle.com/c/malware-classification/forums/t/13490/say-no-to-overfitting-approaches-sharing)
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* XGBoost wins [WWW2015 Microsoft Malware Classification Challenge (BIG 2015)](http://www.kaggle.com/c/malware-classification/forums/t/13490/say-no-to-overfitting-approaches-sharing)
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* XGBoost now support HDFS and S3
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* XGBoost now support HDFS and S3
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* [Distributed XGBoost now runs on YARN](https://github.com/dmlc/wormhole/tree/master/learn/xgboost)!
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* [Distributed XGBoost now runs on YARN](https://github.com/dmlc/wormhole/tree/master/learn/xgboost)
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* [xgboost user group](https://groups.google.com/forum/#!forum/xgboost-user/) for tracking changes, sharing your experience on xgboost
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* [xgboost user group](https://groups.google.com/forum/#!forum/xgboost-user/) for tracking changes, sharing your experience on xgboost
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* [Distributed XGBoost](multi-node) is now available!!
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* New features in the lastest changes :)
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* New features in the lastest changes :)
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- Distributed version that scale xgboost to even larger problems with cluster
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- Distributed version that scale xgboost to even larger problems with cluster
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- Feature importance visualization in R module, thanks to Michael Benesty
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- Feature importance visualization in R module, thanks to Michael Benesty
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@ -1,7 +1,3 @@
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XGBoost Documentation
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====
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This is an ongoing effort to move the [wiki document](https://github.com/dmlc/xgboost/wiki) to here. You can already find all the most useful parts here.
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List of Documentations
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List of Documentations
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====
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====
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* [Parameters](parameter.md)
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* [Parameters](parameter.md)
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@ -27,4 +23,4 @@ This section is about blogposts, presentation and videos discussing how to use x
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Contribution
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Contribution
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====
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====
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Contribution of document and usecases are welcomed!
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Contribution of documents and use-cases are welcomed!
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