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课程目录:( f A9 q; g' c+ t% N
01_Linear_Support_Vector_Machine$ j( E$ z) `6 r s$ `' `( \' C
02_Dual_Support_Vector_Machine5 q+ ` W, }8 u) A% Q: [
03_Kernel_Support_Vector_Machine
& C; k, g% C- y9 m3 Y1 E) f04_Soft-Margin_Support_Vector_Machine- N: N, w! j' T8 `$ c
05_Kernel_Logistic_Regression5 h- g: ~" Q3 t# e% e6 R9 q: x- ~
06_Support_Vector_Regression
5 l* {* f5 }6 E+ ^07_Blending_and_Bagging8 X0 V/ V7 H/ q: f7 ^
08_Adaptive_Boosting4 g* o0 }3 U3 M* D+ u
09_Decision_Tree
) }: p! n! t1 b! P; Z+ g; d- J% L5 X10_Random_Forest$ H9 m5 E5 {2 ^& Z2 n
11_Gradient_Boosted_Decision_Tree
4 [" e# k% T, u" u+ a% G; ^! r3 R12_Neural_Network9 i+ w. a; P5 ~1 T) k+ d* i
13_Deep_Learning: c8 S" H5 ~/ |' N% }
14_Radial_Basis_Function_Network
^. Y/ g& q q0 B p15_Matrix_Factorization2 O8 v* q( P& k$ t1 M
16_Finale5 m; O/ Y, Q2 y$ l, e
8 d1 Z7 \4 o5 f. J$ K) M5 m) M3 H: F2 A$ B/ q
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