课程名称: 国立台湾大学机器学习技法 16讲 林轩田主讲
资源目录:
16_Finale
13_Deep_Learning
14_Radial_Basis_Function_Network
05_Kernel_Logistic_Regression
10_Random_Forest
11_Gradient_Boosted_Decision_Tree
15_Matrix_Factorization
09_Decision_Tree
02_Dual_Support_Vector_Machine
07_Blending_and_Bagging
06_Support_Vector_Regression
04_Soft-Margin_Support_Vector_Machine
03_Kernel_Support_Vector_Machine
08_Adaptive_Boosting
01_Linear_Support_Vector_Machine
12_Neural_Network
下载地址:
资源目录:
16_Finale
13_Deep_Learning
14_Radial_Basis_Function_Network
05_Kernel_Logistic_Regression
10_Random_Forest
11_Gradient_Boosted_Decision_Tree
15_Matrix_Factorization
09_Decision_Tree
02_Dual_Support_Vector_Machine
07_Blending_and_Bagging
06_Support_Vector_Regression
04_Soft-Margin_Support_Vector_Machine
03_Kernel_Support_Vector_Machine
08_Adaptive_Boosting
01_Linear_Support_Vector_Machine
12_Neural_Network
下载地址: