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课程目录:9 k9 f( I+ Z$ s0 ^& D
01_Linear_Support_Vector_Machine8 a( Z/ c- K" m* s* S. ?
02_Dual_Support_Vector_Machine
0 ^: z0 ~! {2 J8 l+ I, m5 X ]; Q( ~03_Kernel_Support_Vector_Machine
0 H2 N0 m: u2 N04_Soft-Margin_Support_Vector_Machine! Q/ B! l0 u& }2 L9 |
05_Kernel_Logistic_Regression
$ k) `% v, t6 a# p7 V7 n1 j06_Support_Vector_Regression8 K0 f8 N, \% l6 w, [0 L6 D6 f
07_Blending_and_Bagging) o2 F/ O0 i, M% L
08_Adaptive_Boosting
& n. X, @0 @1 V09_Decision_Tree, h5 M N8 W/ z
10_Random_Forest
0 A! {1 n/ J. F+ q11_Gradient_Boosted_Decision_Tree
1 }+ i" d @2 d4 \8 t/ H12_Neural_Network
; o# ~5 L4 k% r4 J8 \5 v13_Deep_Learning& H! \1 G# f6 R0 M
14_Radial_Basis_Function_Network( s3 l I3 i% ~- w% Q( g
15_Matrix_Factorization: L$ O. C1 S& _# D3 p" V
16_Finale- j2 q" j5 e( O' ?1 J8 d0 D' ?
8 K/ V$ n5 E4 ]3 P; q S5 s
5 F# E- A% A: I/ {/ {; R
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