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75（上）xgboost机器学习联合Shap可解释性建模分析精讲，零基础可学，附代码，带你零基础学生信~
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75（上）xgboost机器学习联合Shap可解释性建模分析精讲，零基础可学…
14 views6 days ago
bilibili不太会生信哥
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YouTubeSchovia
Learning Rate: The volume knob of XGBoost
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Learning Rate: The volume knob of XGBoost
102 views3 days ago
YouTubeSchovia
El estudio probó y comparó tres enfoques de modelos de ensamble—bagging (RF), boosting (XGBoost) y stacking (gcForest)—utilizando 25 factores ambientales y topográficos. El análisis determinó que la altitud, la distancia a los ríos y las residencias, y el uso del suelo son los elementos más influyentes en la ocurrencia de deslizamientos. #randomForest #XGBoost #boosting #stacking
6:43
El estudio probó y comparó tres enfoques de modelos de ensambl…
5.1K views3 days ago
TikTokarlestaboada
利用pytorch+cuda跑了一个简单的CNN模型
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利用pytorch+cuda跑了一个简单的CNN模型
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bilibili圆滚滚爱上熊猫团子
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