Update README.md
This commit is contained in:
parent
c17c0f3197
commit
b2850ae0f9
@ -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
|
||||
=====
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user