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[其他视频教程] 机器学习技法-林轩田(课件)

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初末 发表于 2018-1-11 13:18:40 [显示全部楼层] |只看大图 回帖奖励 |倒序浏览 |阅读模式 回复:  2 浏览:  10580

机器学习技法-林轩田(课件)

机器学习技法-林轩田(课件)




简介
机器学习技法-林轩田

目录
01_Linear_Support_Vector_Machine
   01_Course_Introduction_4-07
   02_Large-Margin_Separating_Hyperplane_14-17
   03_Standard_Large-Margin_Problem_19-16
   04_Support_Vector_Machine_15-33
   05_Reasons_behind_Large-Margin_Hyperplane_13-31


02_Dual_Support_Vector_Machine
   01_Motivation_of_Dual_SVM_15-54
   02_Lagrange_Dual_SVM_18-50
   03_Solving_Dual_SVM_14-19
   04_Messages_behind_Dual_SVM_11-18

03_Kernel_Support_Vector_Machine
    01_Kernel_Trick_20-23
    02_Polynomial_Kernel_12-16
    03_Gaussian_Kernel_14-43
    04_Comparison_of_Kernels_13-35

04_Soft-Margin_Support_Vector_Machine
    01_Motivation_and_Primal_Problem_14-27
    02_Dual_Problem_7-38
    03_Messages_behind_Soft-Margin_SVM_13-44
    04_Model_Selection_9-57

05_Kernel_Logistic_Regression
    01_Soft-Margin_SVM_as_Regularized_Model_13-40
    02_SVM_versus_Logistic_Regression_10-18
    03_SVM_for_Soft_Binary_Classification_9-36
    04_Kernel_Logistic_Regression_16-22

06_Support_Vector_Regression
     01_Kernel_Ridge_Regression_17-17
     02_Support_Vector_Regression_Primal_18-44
     03_Support_Vector_Regression_Dual_13-05
     04_Summary_of_Kernel_Models_09-06

07_Blending_and_Bagging
    01_Motivation_of_Aggregation_18-54
    02_Uniform_Blending_20-31
    03_Linear_and_Any_Blending_16-48
    04_Bagging_Bootstrap_Aggregation_11-48

08_Adaptive_Boosting
    01_Motivation_of_Boosting_12-47
    02_Diversity_by_Re-weighting_14-28
    03_Adaptive_Boosting_Algorithm_13-34
    04_Adaptive_Boosting_in_Action_11-04  

09_Decision_Tree
    01_Decision_Tree_Hypothesis_17-28
    02_Decision_Tree_Algorithm_15-20
    03_Decision_Tree_Heuristics_in_CRT_13-21
    04_Decision_Tree_in_Action_8-44

10_Random_Forest
     01_Random_Forest_Algorithm_13-06
     02_Out-Of-Bag_Estimate_12-31
     03_Feature_Selection_19-27
     04_Random_Forest_in_Action13-28

11_Gradient_Boosted_Decision_Tree
    01_Adaptive_Boosted_Decision_Tree_15-05
    02_Optimization_View_of_AdaBoost_27-25
    03_Gradient_Boosting_18-20
    04_Summary_of_Aggregation_Models_11-19

12_Neural_Network
   01_Motivation_20-36
   02_Neural_Network_Hypothesis_18-01
   03_Neural_Network_Learning_20-15
   04_Optimization_and_Regularization_17-29

13_Deep_Learning
    01_Deep_Neural_Network_21-30
    02_Autoencoder_15-17
    03_Denoising_Autoencoder_8-30
    04_Principal_Component_Analysis_31-20

14_Radial_Basis_Function_Network
    01_RBF_Network_Hypothesis_12-55
    02_RBF_Network_Learning_20-08
    03_k-Means_Algorithm_16-19
    04_k-Means_and_RBF_Network_in_Action_9-46

15_Matrix_Factorization
    15 - 1 - Linear Network Hypothesis (20-16)  
    15 - 2 - Basic Matrix Factorization (16-32)
    15 - 3 - Stochastic Gradient Descent (12-22)
    15 - 4 - Summary of Extraction Models (9-12)

16_Finale
     16 - 1 - Feature Exploitation Techniques (16-11)
     16 - 2 - Error Optimization Techniques (8-40)
     16 - 3 - Overfitting Elimination Techniques (6-44)
     16 - 4 - Machine Learning in Action (12-59)




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  • 阿士匹灵
  • bloodypanda
过: 他们
因分享而快乐,学习以自强!
阿士匹灵 发表于 2018-1-12 09:52:06 显示全部楼层
火炬之光游戏素材
因分享而快乐,学习以自强!
bloodypanda 发表于 2018-1-12 19:43:18 显示全部楼层
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因分享而快乐,学习以自强!
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