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台湾大学 机器学习技法 (Machine Learning Techniques)林轩田老师 中文讲课+课件
├─01_Linear_Support_Vector_Machine
│ 01_Course_Introduction_4-07.mp4
│ 02_Large-Margin_Separating_Hyperplane_14-17.mp4
│ 03_Standard_Large-Margin_Problem_19-16.mp4
│ 04_Support_Vector_Machine_15-33.mp4
│ 05_Reasons_behind_Large-Margin_Hyperplane_13-31.mp4
│
├─02_Dual_Support_Vector_Machine
│ 01_Motivation_of_Dual_SVM_15-54.mp4
│ 02_Lagrange_Dual_SVM_18-50.mp4
│ 03_Solving_Dual_SVM_14-19.mp4
│ 04_Messages_behind_Dual_SVM_11-18.mp4
│
├─03_Kernel_Support_Vector_Machine
│ 01_Kernel_Trick_20-23.mp4
│ 02_Polynomial_Kernel_12-16.mp4
│ 03_Gaussian_Kernel_14-43.mp4
│ 04_Comparison_of_Kernels_13-35.mp4
│
├─04_Soft-Margin_Support_Vector_Machine
│ 01_Motivation_and_Primal_Problem_14-27.mp4
│ 02_Dual_Problem_7-38.mp4
│ 03_Messages_behind_Soft-Margin_SVM_13-44.mp4
│ 04_Model_Selection_9-57.mp4
│
├─05_Kernel_Logistic_Regression
│ 01_Soft-Margin_SVM_as_Regularized_Model_13-40.mp4
│ 02_SVM_versus_Logistic_Regression_10-18.mp4
│ 03_SVM_for_Soft_Binary_Classification_9-36.mp4
│ 04_Kernel_Logistic_Regression_16-22.mp4
│
├─06_Support_Vector_Regression
│ 01_Kernel_Ridge_Regression_17-17.mp4
│ 02_Support_Vector_Regression_Primal_18-44.mp4
│ 03_Support_Vector_Regression_Dual_13-05.mp4
│ 04_Summary_of_Kernel_Models_09-06.mp4
│
├─07_Blending_and_Bagging
│ 01_Motivation_of_Aggregation_18-54.mp4
│ 02_Uniform_Blending_20-31.mp4
│ 03_Linear_and_Any_Blending_16-48.mp4
│ 04_Bagging_Bootstrap_Aggregation_11-48.mp4
│
├─08_Adaptive_Boosting
│ 01_Motivation_of_Boosting_12-47.mp4
│ 02_Diversity_by_Re-weighting_14-28.mp4
│ 03_Adaptive_Boosting_Algorithm_13-34.mp4
│ 04_Adaptive_Boosting_in_Action_11-04.mp4
│
├─09_Decision_Tree
│ 01_Decision_Tree_Hypothesis_17-28.mp4
│ 02_Decision_Tree_Algorithm_15-20.mp4
│ 03_Decision_Tree_Heuristics_in_CRT_13-21.mp4
│ 04_Decision_Tree_in_Action_8-44.mp4
│
├─10_Random_Forest
│ 01_Random_Forest_Algorithm_13-06.mp4
│ 02_Out-Of-Bag_Estimate_12-31.mp4
│ 03_Feature_Selection_19-27.mp4
│ 04_Random_Forest_in_Action13-28.mp4
│
├─11_Gradient_Boosted_Decision_Tree
│ 01_Adaptive_Boosted_Decision_Tree_15-05.mp4
│ 02_Optimization_View_of_AdaBoost_27-25.mp4
│ 03_Gradient_Boosting_18-20.mp4
│ 04_Summary_of_Aggregation_Models_11-19.mp4
│
├─12_Neural_Network
│ 01_Motivation_20-36.mp4
│ 02_Neural_Network_Hypothesis_18-01.mp4
│ 03_Neural_Network_Learning_22-26.mp4
│ 04_Optimization_and_Regularization_17-29.mp4
│
├─13_Deep_Learning
│ 01_Deep_Neural_Network_21-30.mp4
│ 02_Autoencoder_15-17.mp4
│ 03_Denoising_Autoencoder_8-30.mp4
│ 04_Principal_Component_Analysis_31-20.mp4
│
├─14_Radial_Basis_Function_Network
│ 01_RBF_Network_Hypothesis_12-55.mp4
│ 02_RBF_Network_Learning_20-08.mp4
│ 03_k-Means_Algorithm_16-19.mp4
│ 04_k-Means_and_RBF_Network_in_Action_9-46.mp4
│
├─15_Matrix_Factorization
│ 01_Linear_Network_Hypothesis_20-16.mp4
│ 02_Basic_Matrix_Factorization_16-32.mp4
│ 03_Stochastic_Gradient_Descent_12-22.mp4
│ 04_Summary_of_Extraction_Models_9-12.mp4
│
├─16_Finale
│ 01_Feature_Exploitation_Techniques_16-11.mp4
│ 02_Error_Optimization_Techniques_8-40.mp4
│ 03_Overfitting_Elimination_Techniques_6-44.mp4
│ 04_Machine_Learning_in_Action_12-59.mp4
│
└─PDF
├─01_Linear_Support_Vector_Machine
│ 01_Course_Introduction_4-07.pdf
│
├─02_Dual_Support_Vector_Machine
│ 01_Motivation_of_Dual_SVM_15-54.pdf
│
├─03_Kernel_Support_Vector_Machine
│ 01_Kernel_Trick_20-23.pdf
│
├─04_Soft-Margin_Support_Vector_Machine
│ 01_Motivation_and_Primal_Problem_14-27.pdf
│
├─05_Kernel_Logistic_Regression
│ 01_Soft-Margin_SVM_as_Regularized_Model_13-40.pdf
│
├─06_Support_Vector_Regression
│ 01_Kernel_Ridge_Regression_17-17.pdf
│
├─07_Blending_and_Bagging
│ 01_Motivation_of_Aggregation_18-54.pdf
│
├─08_Adaptive_Boosting
│ 01_Motivation_of_Boosting_12-47.pdf
│
├─09_Decision_Tree
│ 01_Decision_Tree_Hypothesis_17-28.pdf
│
├─10_Random_Forest
│ 01_Random_Forest_Algorithm_13-06.pdf
│
├─11_Gradient_Boosted_Decision_Tree
│ 01_Adaptive_Boosted_Decision_Tree_15-05.pdf
│
├─12_Neural_Network
│ 01_Motivation_20-36.pdf
│
├─13_Deep_Learning
│ 01_Deep_Neural_Network_21-30.pdf
│
├─14_Radial_Basis_Function_Network
│ 01_RBF_Network_Hypothesis_12-55.pdf
│
├─15_Matrix_Factorization
│ 01_Linear_Network_Hypothesis_20-16.pdf
│
└─16_Finale
01_Feature_Exploitation_Techniques_16-11.pdf
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