Kaggle Winning Solution Xgboost Algorithm - Learn from Its Author, Tong He
65.4 هزار بار بازدید -
9 سال پیش
-
Speaker Bio:Tong He was a
Speaker Bio:
Tong He was a data scientist at Supstat Inc. He has been an active R programmer and developer for 5 years. He is the author of the R package XGBoost, currently one of the most popular and contest-winning tools on kaggle.com.
Pre-requisite:
R /Calculus
Preparation:
A laptop with R installed. Windows users might need to have RTools installed as well.
Agenda:
Introduction of Xgboost
Real World Application
Model Specification
Parameter Introduction
Advanced Features
Kaggle Winning Solution
Reference:
https://github.com/dmlc/xgboost
Tong He was a data scientist at Supstat Inc. He has been an active R programmer and developer for 5 years. He is the author of the R package XGBoost, currently one of the most popular and contest-winning tools on kaggle.com.
Pre-requisite:
R /Calculus
Preparation:
A laptop with R installed. Windows users might need to have RTools installed as well.
Agenda:
Introduction of Xgboost
Real World Application
Model Specification
Parameter Introduction
Advanced Features
Kaggle Winning Solution
Reference:
https://github.com/dmlc/xgboost
9 سال پیش
در تاریخ 1394/06/13 منتشر شده
است.
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