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:
01_Linear_Support_Vector_Machine
02_Dual_Support_Vector_Machine
03_Kernel_Support_Vector_Machine
04_Soft-Margin_Support_Vector_Machine
05_Kernel_Logistic_Regression
06_Support_Vector_Regression
07_Blending_and_Bagging
08_Adaptive_Boosting
09_Decision_Tree
10_Random_Forest
11_Gradient_Boosted_Decision_Tree
12_Neural_Network
13_Deep_Learning
14_Radial_Basis_Function_Network
15_Matrix_Factorization
16_Finale
下载地址:
资源目录:
01_Linear_Support_Vector_Machine
02_Dual_Support_Vector_Machine
03_Kernel_Support_Vector_Machine
04_Soft-Margin_Support_Vector_Machine
05_Kernel_Logistic_Regression
06_Support_Vector_Regression
07_Blending_and_Bagging
08_Adaptive_Boosting
09_Decision_Tree
10_Random_Forest
11_Gradient_Boosted_Decision_Tree
12_Neural_Network
13_Deep_Learning
14_Radial_Basis_Function_Network
15_Matrix_Factorization
16_Finale
下载地址: