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@@ -13,8 +13,9 @@ Examples Code: [Learning to use xgboost by examples](demo)
 Notes on the Code: [Code Guide](src)
 
 Learning about the model: [Introduction to Boosted Trees](http://homes.cs.washington.edu/~tqchen/pdf/BoostedTree.pdf)
-* This slide is made by Tianqi Chen to introduce gradient boosting in a statistical view, which directly optimizes the loss function and regularization penalty.
-* The slide present the model used by xgboost.
+* This slide is made by Tianqi Chen to introduce gradient boosting in a statistical view.
+* It present boosted tree learning as formal functional space optimization of defined objective.
+* The model presented is used by xgboost for boosted trees
 
 What's New
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