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  • 最近下载:2021-01-14 02:49:09
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文件列表

  1. 08_VIII._Neural_Networks-_Representation_Week_4/01_Non-linear_Hypotheses_10_min.pptx 40MB
  2. 12_XII._Support_Vector_Machines_Week_7/06_Using_An_SVM_21_min.mp4 24MB
  3. 12_XII._Support_Vector_Machines_Week_7/03_Mathematics_Behind_Large_Margin_Classification_Optional_20_min.mp4 22MB
  4. 05_V._Octave_Tutorial_Week_2/02_Moving_Data_Around_16_min.mp4 21MB
  5. 18_XVIII._Application_Example-_Photo_OCR/03_Getting_Lots_of_Data_and_Artificial_Data_16_min.mp4 19MB
  6. 06_VI._Logistic_Regression_Week_3/06_Advanced_Optimization_14_min.mp4 18MB
  7. 14_XIV._Dimensionality_Reduction_Week_8/04_Principal_Component_Analysis_Algorithm_15_min.mp4 18MB
  8. 05_V._Octave_Tutorial_Week_2/01_Basic_Operations_14_min.mp4 18MB
  9. 12_XII._Support_Vector_Machines_Week_7/04_Kernels_I_16_min.mp4 18MB
  10. 12_XII._Support_Vector_Machines_Week_7/05_Kernels_II_16_min.mp4 17MB
  11. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/06_Normal_Equation_16_min.mp4 17MB
  12. 16_XVI._Recommender_Systems_Week_9/02_Content_Based_Recommendations_15_min.mp4 17MB
  13. 06_VI._Logistic_Regression_Week_3/03_Decision_Boundary_15_min.mp4 17MB
  14. 01_I._Introduction_Week_1/04_Unsupervised_Learning_14_min.mp4 17MB
  15. 12_XII._Support_Vector_Machines_Week_7/01_Optimization_Objective_15_min.mp4 17MB
  16. 18_XVIII._Application_Example-_Photo_OCR/02_Sliding_Windows_15_min.mp4 17MB
  17. 05_V._Octave_Tutorial_Week_2/05_Control_Statements-_for_while_if_statements_13_min.mp4 16MB
  18. 15_XV._Anomaly_Detection_Week_9/08_Anomaly_Detection_using_the_Multivariate_Gaussian_Distribution_Optional_14_min.mp4 16MB
  19. 09_IX._Neural_Networks-_Learning_Week_5/07_Putting_It_Together_14_min.mp4 16MB
  20. 18_XVIII._Application_Example-_Photo_OCR/04_Ceiling_Analysis-_What_Part_of_the_Pipeline_to_Work_on_Next_14_min.mp4 16MB
  21. 05_V._Octave_Tutorial_Week_2/06_Vectorization_14_min.mp4 16MB
  22. 17_XVII._Large_Scale_Machine_Learning_Week_10/06_Map_Reduce_and_Data_Parallelism_14_min.mp4 16MB
  23. 11_XI._Machine_Learning_System_Design_Week_6/04_Trading_Off_Precision_and_Recall_14_min.mp4 16MB
  24. 15_XV._Anomaly_Detection_Week_9/07_Multivariate_Gaussian_Distribution_Optional_14_min.mp4 16MB
  25. 09_IX._Neural_Networks-_Learning_Week_5/03_Backpropagation_Intuition_13_min.mp4 15MB
  26. 11_XI._Machine_Learning_System_Design_Week_6/02_Error_Analysis_13_min.mp4 15MB
  27. 17_XVII._Large_Scale_Machine_Learning_Week_10/02_Stochastic_Gradient_Descent_13_min.mp4 15MB
  28. 05_V._Octave_Tutorial_Week_2/03_Computing_on_Data_13_min.mp4 15MB
  29. 15_XV._Anomaly_Detection_Week_9/04_Developing_and_Evaluating_an_Anomaly_Detection_System_13_min.mp4 15MB
  30. 03_III._Linear_Algebra_Review_Week_1_Optional/03_Matrix_Vector_Multiplication_14_min.mp4 15MB
  31. 17_XVII._Large_Scale_Machine_Learning_Week_10/05_Online_Learning_13_min.mp4 15MB
  32. 09_IX._Neural_Networks-_Learning_Week_5/08_Autonomous_Driving_7_min.mp4 15MB
  33. 14_XIV._Dimensionality_Reduction_Week_8/07_Advice_for_Applying_PCA_13_min.mp4 15MB
  34. 14_XIV._Dimensionality_Reduction_Week_8/01_Motivation_I-_Data_Compression_10_min.mp4 14MB
  35. 15_XV._Anomaly_Detection_Week_9/06_Choosing_What_Features_to_Use_12_min.mp4 14MB
  36. 10_X._Advice_for_Applying_Machine_Learning_Week_6/03_Model_Selection_and_Train-Validation-Test_Sets_12_min.mp4 14MB
  37. 08_VIII._Neural_Networks-_Representation_Week_4/06_Examples_and_Intuitions_II_10_min.mp4 14MB
  38. 15_XV._Anomaly_Detection_Week_9/03_Algorithm_12_min.mp4 14MB
  39. 09_IX._Neural_Networks-_Learning_Week_5/02_Backpropagation_Algorithm_12_min.mp4 14MB
  40. 13_XIII._Clustering_Week_8/02_K-Means_Algorithm_13_min.mp4 14MB
  41. 08_VIII._Neural_Networks-_Representation_Week_4/03_Model_Representation_I_12_min.mp4 14MB
  42. 02_II._Linear_Regression_with_One_Variable_Week_1/05_Gradient_Descent_11_min.mp4 13MB
  43. 09_IX._Neural_Networks-_Learning_Week_5/05_Gradient_Checking_12_min.mp4 13MB
  44. 01_I._Introduction_Week_1/03_Supervised_Learning_12_min.mp4 13MB
  45. 08_VIII._Neural_Networks-_Representation_Week_4/04_Model_Representation_II_12_min.mp4 13MB
  46. 17_XVII._Large_Scale_Machine_Learning_Week_10/04_Stochastic_Gradient_Descent_Convergence_12_min.mp4 13MB
  47. 05_V._Octave_Tutorial_Week_2/04_Plotting_Data_10_min.mp4 13MB
  48. 11_XI._Machine_Learning_System_Design_Week_6/03_Error_Metrics_for_Skewed_Classes_12_min.mp4 13MB
  49. 06_VI._Logistic_Regression_Week_3/04_Cost_Function_11_min.mp4 13MB
  50. 02_II._Linear_Regression_with_One_Variable_Week_1/06_Gradient_Descent_Intuition_12_min.mp4 13MB
  51. 10_X._Advice_for_Applying_Machine_Learning_Week_6/06_Learning_Curves_12_min.mp4 13MB
  52. 11_XI._Machine_Learning_System_Design_Week_6/05_Data_For_Machine_Learning_11_min.mp4 13MB
  53. 03_III._Linear_Algebra_Review_Week_1_Optional/06_Inverse_and_Transpose_11_min.mp4 13MB
  54. 10_X._Advice_for_Applying_Machine_Learning_Week_6/05_Regularization_and_Bias-Variance_11_min.mp4 13MB
  55. 03_III._Linear_Algebra_Review_Week_1_Optional/04_Matrix_Matrix_Multiplication_11_min.mp4 13MB
  56. 02_II._Linear_Regression_with_One_Variable_Week_1/03_Cost_Function_-_Intuition_I_11_min.mp4 12MB
  57. 02_II._Linear_Regression_with_One_Variable_Week_1/07_Gradient_Descent_For_Linear_Regression_10_min.mp4 12MB
  58. 07_VII._Regularization_Week_3/03_Regularized_Linear_Regression_11_min.mp4 12MB
  59. 06_VI._Logistic_Regression_Week_3/05_Simplified_Cost_Function_and_Gradient_Descent_10_min.mp4 12MB
  60. 01_I._Introduction_Week_1/01_Welcome_7_min.mp4 12MB
  61. 14_XIV._Dimensionality_Reduction_Week_8/05_Choosing_the_Number_of_Principal_Components_11_min.mp4 12MB
  62. 12_XII._Support_Vector_Machines_Week_7/02_Large_Margin_Intuition_11_min.mp4 12MB
  63. 16_XVI._Recommender_Systems_Week_9/03_Collaborative_Filtering_10_min.mp4 12MB
  64. 15_XV._Anomaly_Detection_Week_9/02_Gaussian_Distribution_10_min.mp4 12MB
  65. 07_VII._Regularization_Week_3/02_Cost_Function_10_min.mp4 12MB
  66. 02_II._Linear_Regression_with_One_Variable_Week_1/04_Cost_Function_-_Intuition_II_9_min.mp4 11MB
  67. 11_XI._Machine_Learning_System_Design_Week_6/01_Prioritizing_What_to_Work_On_10_min.mp4 11MB
  68. 07_VII._Regularization_Week_3/01_The_Problem_of_Overfitting_10_min.mp4 11MB
  69. 07_VII._Regularization_Week_3/04_Regularized_Logistic_Regression_9_min.mp4 11MB
  70. 08_VIII._Neural_Networks-_Representation_Week_4/01_Non-linear_Hypotheses_10_min.mp4 11MB
  71. 16_XVI._Recommender_Systems_Week_9/01_Problem_Formulation_8_min.mp4 11MB
  72. 14_XIV._Dimensionality_Reduction_Week_8/03_Principal_Component_Analysis_Problem_Formulation_9_min.mp4 10MB
  73. 16_XVI._Recommender_Systems_Week_9/04_Collaborative_Filtering_Algorithm_9_min.mp4 10MB
  74. 08_VIII._Neural_Networks-_Representation_Week_4/02_Neurons_and_the_Brain_8_min.mp4 10MB
  75. 03_III._Linear_Algebra_Review_Week_1_Optional/05_Matrix_Multiplication_Properties_9_min.mp4 10MB
  76. 16_XVI._Recommender_Systems_Week_9/06_Implementational_Detail-_Mean_Normalization_9_min.mp4 10MB
  77. 16_XVI._Recommender_Systems_Week_9/05_Vectorization-_Low_Rank_Matrix_Factorization_8_min.mp4 10MB
  78. 03_III._Linear_Algebra_Review_Week_1_Optional/01_Matrices_and_Vectors_9_min.mp4 10MB
  79. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/03_Gradient_Descent_in_Practice_I_-_Feature_Scaling_9_min.mp4 9MB
  80. 13_XIII._Clustering_Week_8/05_Choosing_the_Number_of_Clusters_8_min.mp4 9MB
  81. 09_IX._Neural_Networks-_Learning_Week_5/04_Implementation_Note-_Unrolling_Parameters_8_min.mp4 9MB
  82. 01_I._Introduction_Week_1/02_What_is_Machine_Learning_7_min.mp4 9MB
  83. 15_XV._Anomaly_Detection_Week_9/05_Anomaly_Detection_vs._Supervised_Learning_8_min.mp4 9MB
  84. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/04_Gradient_Descent_in_Practice_II_-_Learning_Rate_9_min.mp4 9MB
  85. 02_II._Linear_Regression_with_One_Variable_Week_1/02_Cost_Function_8_min.mp4 9MB
  86. 02_II._Linear_Regression_with_One_Variable_Week_1/01_Model_Representation_8_min.mp4 9MB
  87. 10_X._Advice_for_Applying_Machine_Learning_Week_6/04_Diagnosing_Bias_vs._Variance_8_min.mp4 9MB
  88. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/01_Multiple_Features_8_min.mp4 9MB
  89. 06_VI._Logistic_Regression_Week_3/01_Classification_8_min.mp4 9MB
  90. 13_XIII._Clustering_Week_8/04_Random_Initialization_8_min.mp4 9MB
  91. 10_X._Advice_for_Applying_Machine_Learning_Week_6/02_Evaluating_a_Hypothesis_8_min.mp4 8MB
  92. 15_XV._Anomaly_Detection_Week_9/01_Problem_Motivation_8_min.mp4 8MB
  93. 06_VI._Logistic_Regression_Week_3/02_Hypothesis_Representation_7_min.mp4 8MB
  94. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/05_Features_and_Polynomial_Regression_8_min.mp4 8MB
  95. 10_X._Advice_for_Applying_Machine_Learning_Week_6/07_Deciding_What_to_Do_Next_Revisited_7_min.mp4 8MB
  96. 13_XIII._Clustering_Week_8/03_Optimization_Objective_7_min.mp4 8MB
  97. 18_XVIII._Application_Example-_Photo_OCR/01_Problem_Description_and_Pipeline_7_min.mp4 8MB
  98. 08_VIII._Neural_Networks-_Representation_Week_4/05_Examples_and_Intuitions_I_7_min.mp4 8MB
  99. 09_IX._Neural_Networks-_Learning_Week_5/01_Cost_Function_7_min.mp4 8MB
  100. 09_IX._Neural_Networks-_Learning_Week_5/06_Random_Initialization_7_min.mp4 8MB
  101. 03_III._Linear_Algebra_Review_Week_1_Optional/02_Addition_and_Scalar_Multiplication_7_min.mp4 7MB
  102. 17_XVII._Large_Scale_Machine_Learning_Week_10/03_Mini-Batch_Gradient_Descent_6_min.mp4 7MB
  103. 06_VI._Logistic_Regression_Week_3/07_Multiclass_Classification-_One-vs-all_6_min.mp4 7MB
  104. 10_X._Advice_for_Applying_Machine_Learning_Week_6/01_Deciding_What_to_Try_Next_6_min.mp4 7MB
  105. 17_XVII._Large_Scale_Machine_Learning_Week_10/01_Learning_With_Large_Datasets_6_min.mp4 6MB
  106. 14_XIV._Dimensionality_Reduction_Week_8/02_Motivation_II-_Visualization_6_min.mp4 6MB
  107. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/07_Normal_Equation_Noninvertibility_Optional_6_min.mp4 6MB
  108. 18_XVIII._Application_Example-_Photo_OCR/01_Problem_Description_and_Pipeline_7_min.pptx 6MB
  109. 19_XIX._Conclusion/01_Summary_and_Thank_You_5_min.mp4 6MB
  110. 02_II._Linear_Regression_with_One_Variable_Week_1/08_Whats_Next_6_min.mp4 6MB
  111. 15_XV._Anomaly_Detection_Week_9/01_Problem_Motivation_8_min.pptx 6MB
  112. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/02_Gradient_Descent_for_Multiple_Variables_5_min.mp4 6MB
  113. 05_V._Octave_Tutorial_Week_2/07_Working_on_and_Submitting_Programming_Exercises_4_min.mp4 5MB
  114. 12_XII._Support_Vector_Machines_Week_7/01_Optimization_Objective_15_min.pptx 5MB
  115. 02_II._Linear_Regression_with_One_Variable_Week_1/01_Model_Representation_8_min.pptx 5MB
  116. 14_XIV._Dimensionality_Reduction_Week_8/06_Reconstruction_from_Compressed_Representation_4_min.mp4 5MB
  117. 08_VIII._Neural_Networks-_Representation_Week_4/01_Non-linear_Hypotheses_10_min.pdf 5MB
  118. 09_IX._Neural_Networks-_Learning_Week_5/01_Cost_Function_7_min.pptx 5MB
  119. 03_III._Linear_Algebra_Review_Week_1_Optional/01_Matrices_and_Vectors_9_min.pptx 5MB
  120. 08_VIII._Neural_Networks-_Representation_Week_4/07_Multiclass_Classification_4_min.mp4 5MB
  121. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/01_Multiple_Features_8_min.pptx 4MB
  122. 01_I._Introduction_Week_1/01_Welcome_7_min.pptx 4MB
  123. 06_VI._Logistic_Regression_Week_3/01_Classification_8_min.pptx 4MB
  124. 13_XIII._Clustering_Week_8/01_Unsupervised_Learning-_Introduction_3_min.mp4 4MB
  125. 17_XVII._Large_Scale_Machine_Learning_Week_10/01_Learning_With_Large_Datasets_6_min.pptx 4MB
  126. 14_XIV._Dimensionality_Reduction_Week_8/01_Motivation_I-_Data_Compression_10_min.pptx 4MB
  127. 16_XVI._Recommender_Systems_Week_9/01_Problem_Formulation_8_min.pptx 4MB
  128. 09_IX._Neural_Networks-_Learning_Week_5/01_Cost_Function_7_min.pdf 3MB
  129. 10_X._Advice_for_Applying_Machine_Learning_Week_6/01_Deciding_What_to_Try_Next_6_min.pptx 3MB
  130. 15_XV._Anomaly_Detection_Week_9/01_Problem_Motivation_8_min.pdf 3MB
  131. 01_I._Introduction_Week_1/01_Welcome_7_min.pdf 3MB
  132. 02_II._Linear_Regression_with_One_Variable_Week_1/01_Model_Representation_8_min.pdf 3MB
  133. 13_XIII._Clustering_Week_8/01_Unsupervised_Learning-_Introduction_3_min.pptx 3MB
  134. 07_VII._Regularization_Week_3/01_The_Problem_of_Overfitting_10_min.pptx 3MB
  135. 07_VII._Regularization_Week_3/01_The_Problem_of_Overfitting_10_min.pdf 2MB
  136. 12_XII._Support_Vector_Machines_Week_7/01_Optimization_Objective_15_min.pdf 2MB
  137. 13_XIII._Clustering_Week_8/01_Unsupervised_Learning-_Introduction_3_min.pdf 2MB
  138. 06_VI._Logistic_Regression_Week_3/01_Classification_8_min.pdf 2MB
  139. 17_XVII._Large_Scale_Machine_Learning_Week_10/01_Learning_With_Large_Datasets_6_min.pdf 2MB
  140. 18_XVIII._Application_Example-_Photo_OCR/01_Problem_Description_and_Pipeline_7_min.pdf 2MB
  141. 11_XI._Machine_Learning_System_Design_Week_6/01_Prioritizing_What_to_Work_On_10_min.pptx 2MB
  142. 03_III._Linear_Algebra_Review_Week_1_Optional/01_Matrices_and_Vectors_9_min.pdf 2MB
  143. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/01_Multiple_Features_8_min.pdf 2MB
  144. 14_XIV._Dimensionality_Reduction_Week_8/01_Motivation_I-_Data_Compression_10_min.pdf 2MB
  145. 10_X._Advice_for_Applying_Machine_Learning_Week_6/01_Deciding_What_to_Try_Next_6_min.pdf 1MB
  146. 16_XVI._Recommender_Systems_Week_9/01_Problem_Formulation_8_min.pdf 1MB
  147. entered_login.html 1MB
  148. 11_XI._Machine_Learning_System_Design_Week_6/01_Prioritizing_What_to_Work_On_10_min.pdf 498KB
  149. 05_V._Octave_Tutorial_Week_2/01_Basic_Operations_14_min.pptx 407KB
  150. 05_V._Octave_Tutorial_Week_2/01_Basic_Operations_14_min.pdf 242KB
  151. 12_XII._Support_Vector_Machines_Week_7/06_Using_An_SVM_21_min.srt 44KB
  152. 12_XII._Support_Vector_Machines_Week_7/03_Mathematics_Behind_Large_Margin_Classification_Optional_20_min.srt 36KB
  153. 18_XVIII._Application_Example-_Photo_OCR/03_Getting_Lots_of_Data_and_Artificial_Data_16_min.srt 35KB
  154. 18_XVIII._Application_Example-_Photo_OCR/02_Sliding_Windows_15_min.srt 31KB
  155. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/06_Normal_Equation_16_min.srt 31KB
  156. 12_XII._Support_Vector_Machines_Week_7/05_Kernels_II_16_min.srt 31KB
  157. 18_XVIII._Application_Example-_Photo_OCR/04_Ceiling_Analysis-_What_Part_of_the_Pipeline_to_Work_on_Next_14_min.srt 31KB
  158. 12_XII._Support_Vector_Machines_Week_7/01_Optimization_Objective_15_min.srt 29KB
  159. 12_XII._Support_Vector_Machines_Week_7/04_Kernels_I_16_min.srt 29KB
  160. 01_I._Introduction_Week_1/04_Unsupervised_Learning_14_min.srt 29KB
  161. 17_XVII._Large_Scale_Machine_Learning_Week_10/06_Map_Reduce_and_Data_Parallelism_14_min.srt 29KB
  162. 05_V._Octave_Tutorial_Week_2/02_Moving_Data_Around_16_min.srt 29KB
  163. 11_XI._Machine_Learning_System_Design_Week_6/04_Trading_Off_Precision_and_Recall_14_min.srt 29KB
  164. 14_XIV._Dimensionality_Reduction_Week_8/04_Principal_Component_Analysis_Algorithm_15_min.srt 29KB
  165. 16_XVI._Recommender_Systems_Week_9/02_Content_Based_Recommendations_15_min.srt 29KB
  166. 06_VI._Logistic_Regression_Week_3/06_Advanced_Optimization_14_min.srt 28KB
  167. 09_IX._Neural_Networks-_Learning_Week_5/07_Putting_It_Together_14_min.srt 28KB
  168. 17_XVII._Large_Scale_Machine_Learning_Week_10/05_Online_Learning_13_min.srt 28KB
  169. 11_XI._Machine_Learning_System_Design_Week_6/02_Error_Analysis_13_min.srt 27KB
  170. 15_XV._Anomaly_Detection_Week_9/07_Multivariate_Gaussian_Distribution_Optional_14_min.srt 27KB
  171. 15_XV._Anomaly_Detection_Week_9/04_Developing_and_Evaluating_an_Anomaly_Detection_System_13_min.srt 27KB
  172. 06_VI._Logistic_Regression_Week_3/03_Decision_Boundary_15_min.srt 27KB
  173. 14_XIV._Dimensionality_Reduction_Week_8/07_Advice_for_Applying_PCA_13_min.srt 26KB
  174. 15_XV._Anomaly_Detection_Week_9/08_Anomaly_Detection_using_the_Multivariate_Gaussian_Distribution_Optional_14_min.srt 26KB
  175. 13_XIII._Clustering_Week_8/02_K-Means_Algorithm_13_min.srt 26KB
  176. 05_V._Octave_Tutorial_Week_2/01_Basic_Operations_14_min.srt 25KB
  177. 05_V._Octave_Tutorial_Week_2/06_Vectorization_14_min.srt 25KB
  178. 15_XV._Anomaly_Detection_Week_9/06_Choosing_What_Features_to_Use_12_min.srt 25KB
  179. 09_IX._Neural_Networks-_Learning_Week_5/03_Backpropagation_Intuition_13_min.srt 25KB
  180. 05_V._Octave_Tutorial_Week_2/03_Computing_on_Data_13_min.srt 25KB
  181. 10_X._Advice_for_Applying_Machine_Learning_Week_6/06_Learning_Curves_12_min.srt 25KB
  182. 10_X._Advice_for_Applying_Machine_Learning_Week_6/03_Model_Selection_and_Train-Validation-Test_Sets_12_min.srt 25KB
  183. 03_III._Linear_Algebra_Review_Week_1_Optional/03_Matrix_Vector_Multiplication_14_min.srt 24KB
  184. 09_IX._Neural_Networks-_Learning_Week_5/05_Gradient_Checking_12_min.srt 24KB
  185. 15_XV._Anomaly_Detection_Week_9/03_Algorithm_12_min.srt 23KB
  186. 05_V._Octave_Tutorial_Week_2/05_Control_Statements-_for_while_if_statements_13_min.srt 23KB
  187. 11_XI._Machine_Learning_System_Design_Week_6/05_Data_For_Machine_Learning_11_min.srt 23KB
  188. 09_IX._Neural_Networks-_Learning_Week_5/02_Backpropagation_Algorithm_12_min.srt 23KB
  189. 10_X._Advice_for_Applying_Machine_Learning_Week_6/05_Regularization_and_Bias-Variance_11_min.srt 23KB
  190. 08_VIII._Neural_Networks-_Representation_Week_4/04_Model_Representation_II_12_min.srt 22KB
  191. 06_VI._Logistic_Regression_Week_3/04_Cost_Function_11_min.srt 22KB
  192. 11_XI._Machine_Learning_System_Design_Week_6/03_Error_Metrics_for_Skewed_Classes_12_min.srt 22KB
  193. 08_VIII._Neural_Networks-_Representation_Week_4/03_Model_Representation_I_12_min.srt 22KB
  194. 12_XII._Support_Vector_Machines_Week_7/02_Large_Margin_Intuition_11_min.srt 21KB
  195. 14_XIV._Dimensionality_Reduction_Week_8/05_Choosing_the_Number_of_Principal_Components_11_min.srt 21KB
  196. 03_III._Linear_Algebra_Review_Week_1_Optional/06_Inverse_and_Transpose_11_min.srt 21KB
  197. 12_XII._Support_Vector_Machines_Week_7/06_Using_An_SVM_21_min.txt 21KB
  198. 15_XV._Anomaly_Detection_Week_9/02_Gaussian_Distribution_10_min.srt 21KB
  199. 03_III._Linear_Algebra_Review_Week_1_Optional/04_Matrix_Matrix_Multiplication_11_min.srt 21KB
  200. 07_VII._Regularization_Week_3/03_Regularized_Linear_Regression_11_min.srt 20KB
  201. 16_XVI._Recommender_Systems_Week_9/03_Collaborative_Filtering_10_min.srt 20KB
  202. 14_XIV._Dimensionality_Reduction_Week_8/01_Motivation_I-_Data_Compression_10_min.srt 20KB
  203. 07_VII._Regularization_Week_3/02_Cost_Function_10_min.srt 20KB
  204. 11_XI._Machine_Learning_System_Design_Week_6/01_Prioritizing_What_to_Work_On_10_min.srt 20KB
  205. 06_VI._Logistic_Regression_Week_3/05_Simplified_Cost_Function_and_Gradient_Descent_10_min.srt 20KB
  206. 07_VII._Regularization_Week_3/01_The_Problem_of_Overfitting_10_min.srt 19KB
  207. 08_VIII._Neural_Networks-_Representation_Week_4/01_Non-linear_Hypotheses_10_min.srt 19KB
  208. 02_II._Linear_Regression_with_One_Variable_Week_1/07_Gradient_Descent_For_Linear_Regression_10_min.srt 19KB
  209. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/04_Gradient_Descent_in_Practice_II_-_Learning_Rate_9_min.srt 18KB
  210. 14_XIV._Dimensionality_Reduction_Week_8/03_Principal_Component_Analysis_Problem_Formulation_9_min.srt 18KB
  211. 17_XVII._Large_Scale_Machine_Learning_Week_10/02_Stochastic_Gradient_Descent_13_min.srt 18KB
  212. 13_XIII._Clustering_Week_8/05_Choosing_the_Number_of_Clusters_8_min.srt 18KB
  213. 05_V._Octave_Tutorial_Week_2/04_Plotting_Data_10_min.srt 17KB
  214. 07_VII._Regularization_Week_3/04_Regularized_Logistic_Regression_9_min.srt 17KB
  215. 08_VIII._Neural_Networks-_Representation_Week_4/06_Examples_and_Intuitions_II_10_min.srt 17KB
  216. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/03_Gradient_Descent_in_Practice_I_-_Feature_Scaling_9_min.srt 17KB
  217. 01_I._Introduction_Week_1/03_Supervised_Learning_12_min.srt 17KB
  218. 16_XVI._Recommender_Systems_Week_9/01_Problem_Formulation_8_min.srt 17KB
  219. 03_III._Linear_Algebra_Review_Week_1_Optional/05_Matrix_Multiplication_Properties_9_min.srt 17KB
  220. 16_XVI._Recommender_Systems_Week_9/06_Implementational_Detail-_Mean_Normalization_9_min.srt 17KB
  221. 16_XVI._Recommender_Systems_Week_9/04_Collaborative_Filtering_Algorithm_9_min.srt 16KB
  222. 15_XV._Anomaly_Detection_Week_9/05_Anomaly_Detection_vs._Supervised_Learning_8_min.srt 16KB
  223. 08_VIII._Neural_Networks-_Representation_Week_4/02_Neurons_and_the_Brain_8_min.srt 16KB
  224. 12_XII._Support_Vector_Machines_Week_7/03_Mathematics_Behind_Large_Margin_Classification_Optional_20_min.txt 16KB
  225. 18_XVIII._Application_Example-_Photo_OCR/03_Getting_Lots_of_Data_and_Artificial_Data_16_min.txt 16KB
  226. 16_XVI._Recommender_Systems_Week_9/05_Vectorization-_Low_Rank_Matrix_Factorization_8_min.srt 16KB
  227. 13_XIII._Clustering_Week_8/04_Random_Initialization_8_min.srt 16KB
  228. 06_VI._Logistic_Regression_Week_3/01_Classification_8_min.srt 16KB
  229. 17_XVII._Large_Scale_Machine_Learning_Week_10/04_Stochastic_Gradient_Descent_Convergence_12_min.srt 16KB
  230. 10_X._Advice_for_Applying_Machine_Learning_Week_6/04_Diagnosing_Bias_vs._Variance_8_min.srt 16KB
  231. 15_XV._Anomaly_Detection_Week_9/01_Problem_Motivation_8_min.srt 16KB
  232. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/05_Features_and_Polynomial_Regression_8_min.srt 16KB
  233. 03_III._Linear_Algebra_Review_Week_1_Optional/01_Matrices_and_Vectors_9_min.srt 16KB
  234. 02_II._Linear_Regression_with_One_Variable_Week_1/06_Gradient_Descent_Intuition_12_min.srt 15KB
  235. 02_II._Linear_Regression_with_One_Variable_Week_1/05_Gradient_Descent_11_min.srt 15KB
  236. 09_IX._Neural_Networks-_Learning_Week_5/04_Implementation_Note-_Unrolling_Parameters_8_min.srt 15KB
  237. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/06_Normal_Equation_16_min.txt 15KB
  238. 18_XVIII._Application_Example-_Photo_OCR/01_Problem_Description_and_Pipeline_7_min.srt 15KB
  239. 18_XVIII._Application_Example-_Photo_OCR/04_Ceiling_Analysis-_What_Part_of_the_Pipeline_to_Work_on_Next_14_min.txt 15KB
  240. 18_XVIII._Application_Example-_Photo_OCR/02_Sliding_Windows_15_min.txt 15KB
  241. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/01_Multiple_Features_8_min.srt 15KB
  242. 12_XII._Support_Vector_Machines_Week_7/05_Kernels_II_16_min.txt 14KB
  243. 06_VI._Logistic_Regression_Week_3/02_Hypothesis_Representation_7_min.srt 14KB
  244. 10_X._Advice_for_Applying_Machine_Learning_Week_6/07_Deciding_What_to_Do_Next_Revisited_7_min.srt 14KB
  245. 09_IX._Neural_Networks-_Learning_Week_5/06_Random_Initialization_7_min.srt 14KB
  246. 01_I._Introduction_Week_1/04_Unsupervised_Learning_14_min.txt 14KB
  247. 13_XIII._Clustering_Week_8/03_Optimization_Objective_7_min.srt 14KB
  248. 12_XII._Support_Vector_Machines_Week_7/01_Optimization_Objective_15_min.txt 13KB
  249. 06_VI._Logistic_Regression_Week_3/06_Advanced_Optimization_14_min.txt 13KB
  250. 17_XVII._Large_Scale_Machine_Learning_Week_10/06_Map_Reduce_and_Data_Parallelism_14_min.txt 13KB
  251. 11_XI._Machine_Learning_System_Design_Week_6/04_Trading_Off_Precision_and_Recall_14_min.txt 13KB
  252. 12_XII._Support_Vector_Machines_Week_7/04_Kernels_I_16_min.txt 13KB
  253. 09_IX._Neural_Networks-_Learning_Week_5/01_Cost_Function_7_min.srt 13KB
  254. 09_IX._Neural_Networks-_Learning_Week_5/07_Putting_It_Together_14_min.txt 13KB
  255. 08_VIII._Neural_Networks-_Representation_Week_4/05_Examples_and_Intuitions_I_7_min.srt 13KB
  256. 11_XI._Machine_Learning_System_Design_Week_6/02_Error_Analysis_13_min.txt 13KB
  257. 16_XVI._Recommender_Systems_Week_9/02_Content_Based_Recommendations_15_min.txt 13KB
  258. 15_XV._Anomaly_Detection_Week_9/04_Developing_and_Evaluating_an_Anomaly_Detection_System_13_min.txt 13KB
  259. 15_XV._Anomaly_Detection_Week_9/08_Anomaly_Detection_using_the_Multivariate_Gaussian_Distribution_Optional_14_min.txt 13KB
  260. 05_V._Octave_Tutorial_Week_2/02_Moving_Data_Around_16_min.txt 13KB
  261. 14_XIV._Dimensionality_Reduction_Week_8/04_Principal_Component_Analysis_Algorithm_15_min.txt 13KB
  262. 17_XVII._Large_Scale_Machine_Learning_Week_10/02_Stochastic_Gradient_Descent_13_min.txt 13KB
  263. 17_XVII._Large_Scale_Machine_Learning_Week_10/05_Online_Learning_13_min.txt 13KB
  264. 06_VI._Logistic_Regression_Week_3/07_Multiclass_Classification-_One-vs-all_6_min.srt 13KB
  265. 10_X._Advice_for_Applying_Machine_Learning_Week_6/01_Deciding_What_to_Try_Next_6_min.srt 12KB
  266. 15_XV._Anomaly_Detection_Week_9/07_Multivariate_Gaussian_Distribution_Optional_14_min.txt 12KB
  267. 14_XIV._Dimensionality_Reduction_Week_8/07_Advice_for_Applying_PCA_13_min.txt 12KB
  268. 02_II._Linear_Regression_with_One_Variable_Week_1/03_Cost_Function_-_Intuition_I_11_min.srt 12KB
  269. 06_VI._Logistic_Regression_Week_3/03_Decision_Boundary_15_min.txt 12KB
  270. 13_XIII._Clustering_Week_8/02_K-Means_Algorithm_13_min.txt 12KB
  271. 03_III._Linear_Algebra_Review_Week_1_Optional/02_Addition_and_Scalar_Multiplication_7_min.srt 12KB
  272. 15_XV._Anomaly_Detection_Week_9/06_Choosing_What_Features_to_Use_12_min.txt 12KB
  273. 10_X._Advice_for_Applying_Machine_Learning_Week_6/06_Learning_Curves_12_min.txt 12KB
  274. 17_XVII._Large_Scale_Machine_Learning_Week_10/04_Stochastic_Gradient_Descent_Convergence_12_min.txt 12KB
  275. 05_V._Octave_Tutorial_Week_2/01_Basic_Operations_14_min.txt 12KB
  276. 01_I._Introduction_Week_1/03_Supervised_Learning_12_min.txt 12KB
  277. 10_X._Advice_for_Applying_Machine_Learning_Week_6/02_Evaluating_a_Hypothesis_8_min.srt 11KB
  278. 05_V._Octave_Tutorial_Week_2/06_Vectorization_14_min.txt 11KB
  279. 09_IX._Neural_Networks-_Learning_Week_5/05_Gradient_Checking_12_min.txt 11KB
  280. 09_IX._Neural_Networks-_Learning_Week_5/03_Backpropagation_Intuition_13_min.txt 11KB
  281. 10_X._Advice_for_Applying_Machine_Learning_Week_6/03_Model_Selection_and_Train-Validation-Test_Sets_12_min.txt 11KB
  282. 02_II._Linear_Regression_with_One_Variable_Week_1/04_Cost_Function_-_Intuition_II_9_min.srt 11KB
  283. 05_V._Octave_Tutorial_Week_2/03_Computing_on_Data_13_min.txt 11KB
  284. 03_III._Linear_Algebra_Review_Week_1_Optional/03_Matrix_Vector_Multiplication_14_min.txt 11KB
  285. 11_XI._Machine_Learning_System_Design_Week_6/05_Data_For_Machine_Learning_11_min.txt 11KB
  286. 02_II._Linear_Regression_with_One_Variable_Week_1/06_Gradient_Descent_Intuition_12_min.txt 11KB
  287. 15_XV._Anomaly_Detection_Week_9/03_Algorithm_12_min.txt 11KB
  288. 05_V._Octave_Tutorial_Week_2/05_Control_Statements-_for_while_if_statements_13_min.txt 11KB
  289. 09_IX._Neural_Networks-_Learning_Week_5/02_Backpropagation_Algorithm_12_min.txt 10KB
  290. 02_II._Linear_Regression_with_One_Variable_Week_1/05_Gradient_Descent_11_min.txt 10KB
  291. 10_X._Advice_for_Applying_Machine_Learning_Week_6/05_Regularization_and_Bias-Variance_11_min.txt 10KB
  292. 11_XI._Machine_Learning_System_Design_Week_6/03_Error_Metrics_for_Skewed_Classes_12_min.txt 10KB
  293. 14_XIV._Dimensionality_Reduction_Week_8/02_Motivation_II-_Visualization_6_min.srt 10KB
  294. 08_VIII._Neural_Networks-_Representation_Week_4/04_Model_Representation_II_12_min.txt 10KB
  295. 01_I._Introduction_Week_1/02_What_is_Machine_Learning_7_min.srt 10KB
  296. 06_VI._Logistic_Regression_Week_3/04_Cost_Function_11_min.txt 10KB
  297. 12_XII._Support_Vector_Machines_Week_7/02_Large_Margin_Intuition_11_min.txt 10KB
  298. 02_II._Linear_Regression_with_One_Variable_Week_1/01_Model_Representation_8_min.srt 10KB
  299. 01_I._Introduction_Week_1/01_Welcome_7_min.srt 10KB
  300. 02_II._Linear_Regression_with_One_Variable_Week_1/02_Cost_Function_8_min.srt 10KB
  301. 09_IX._Neural_Networks-_Learning_Week_5/08_Autonomous_Driving_7_min.srt 10KB
  302. 15_XV._Anomaly_Detection_Week_9/02_Gaussian_Distribution_10_min.txt 10KB
  303. 08_VIII._Neural_Networks-_Representation_Week_4/03_Model_Representation_I_12_min.txt 10KB
  304. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/07_Normal_Equation_Noninvertibility_Optional_6_min.srt 10KB
  305. 14_XIV._Dimensionality_Reduction_Week_8/05_Choosing_the_Number_of_Principal_Components_11_min.txt 10KB
  306. 07_VII._Regularization_Week_3/03_Regularized_Linear_Regression_11_min.txt 9KB
  307. 16_XVI._Recommender_Systems_Week_9/03_Collaborative_Filtering_10_min.txt 9KB
  308. 03_III._Linear_Algebra_Review_Week_1_Optional/06_Inverse_and_Transpose_11_min.txt 9KB
  309. 07_VII._Regularization_Week_3/01_The_Problem_of_Overfitting_10_min.txt 9KB
  310. 14_XIV._Dimensionality_Reduction_Week_8/01_Motivation_I-_Data_Compression_10_min.txt 9KB
  311. 07_VII._Regularization_Week_3/02_Cost_Function_10_min.txt 9KB
  312. 11_XI._Machine_Learning_System_Design_Week_6/01_Prioritizing_What_to_Work_On_10_min.txt 9KB
  313. 06_VI._Logistic_Regression_Week_3/05_Simplified_Cost_Function_and_Gradient_Descent_10_min.txt 9KB
  314. 03_III._Linear_Algebra_Review_Week_1_Optional/04_Matrix_Matrix_Multiplication_11_min.txt 9KB
  315. 02_II._Linear_Regression_with_One_Variable_Week_1/07_Gradient_Descent_For_Linear_Regression_10_min.txt 9KB
  316. 08_VIII._Neural_Networks-_Representation_Week_4/01_Non-linear_Hypotheses_10_min.txt 9KB
  317. 14_XIV._Dimensionality_Reduction_Week_8/03_Principal_Component_Analysis_Problem_Formulation_9_min.txt 9KB
  318. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/04_Gradient_Descent_in_Practice_II_-_Learning_Rate_9_min.txt 9KB
  319. 02_II._Linear_Regression_with_One_Variable_Week_1/08_Whats_Next_6_min.srt 8KB
  320. 13_XIII._Clustering_Week_8/05_Choosing_the_Number_of_Clusters_8_min.txt 8KB
  321. 02_II._Linear_Regression_with_One_Variable_Week_1/03_Cost_Function_-_Intuition_I_11_min.txt 8KB
  322. 19_XIX._Conclusion/01_Summary_and_Thank_You_5_min.srt 8KB
  323. 07_VII._Regularization_Week_3/04_Regularized_Logistic_Regression_9_min.txt 8KB
  324. 16_XVI._Recommender_Systems_Week_9/01_Problem_Formulation_8_min.txt 8KB
  325. 17_XVII._Large_Scale_Machine_Learning_Week_10/01_Learning_With_Large_Datasets_6_min.srt 8KB
  326. 15_XV._Anomaly_Detection_Week_9/05_Anomaly_Detection_vs._Supervised_Learning_8_min.txt 8KB
  327. 13_XIII._Clustering_Week_8/04_Random_Initialization_8_min.txt 8KB
  328. 17_XVII._Large_Scale_Machine_Learning_Week_10/03_Mini-Batch_Gradient_Descent_6_min.srt 8KB
  329. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/03_Gradient_Descent_in_Practice_I_-_Feature_Scaling_9_min.txt 8KB
  330. 10_X._Advice_for_Applying_Machine_Learning_Week_6/04_Diagnosing_Bias_vs._Variance_8_min.txt 8KB
  331. 05_V._Octave_Tutorial_Week_2/04_Plotting_Data_10_min.txt 8KB
  332. 16_XVI._Recommender_Systems_Week_9/04_Collaborative_Filtering_Algorithm_9_min.txt 8KB
  333. 02_II._Linear_Regression_with_One_Variable_Week_1/04_Cost_Function_-_Intuition_II_9_min.txt 8KB
  334. 08_VIII._Neural_Networks-_Representation_Week_4/02_Neurons_and_the_Brain_8_min.txt 8KB
  335. 06_VI._Logistic_Regression_Week_3/01_Classification_8_min.txt 8KB
  336. 08_VIII._Neural_Networks-_Representation_Week_4/06_Examples_and_Intuitions_II_10_min.txt 8KB
  337. 16_XVI._Recommender_Systems_Week_9/06_Implementational_Detail-_Mean_Normalization_9_min.txt 8KB
  338. 16_XVI._Recommender_Systems_Week_9/05_Vectorization-_Low_Rank_Matrix_Factorization_8_min.txt 8KB
  339. 14_XIV._Dimensionality_Reduction_Week_8/06_Reconstruction_from_Compressed_Representation_4_min.srt 8KB
  340. 15_XV._Anomaly_Detection_Week_9/01_Problem_Motivation_8_min.txt 7KB
  341. 08_VIII._Neural_Networks-_Representation_Week_4/07_Multiclass_Classification_4_min.srt 7KB
  342. 03_III._Linear_Algebra_Review_Week_1_Optional/05_Matrix_Multiplication_Properties_9_min.txt 7KB
  343. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/05_Features_and_Polynomial_Regression_8_min.txt 7KB
  344. 03_III._Linear_Algebra_Review_Week_1_Optional/01_Matrices_and_Vectors_9_min.txt 7KB
  345. 13_XIII._Clustering_Week_8/01_Unsupervised_Learning-_Introduction_3_min.srt 7KB
  346. 01_I._Introduction_Week_1/02_What_is_Machine_Learning_7_min.txt 7KB
  347. 09_IX._Neural_Networks-_Learning_Week_5/06_Random_Initialization_7_min.txt 7KB
  348. 18_XVIII._Application_Example-_Photo_OCR/01_Problem_Description_and_Pipeline_7_min.txt 7KB
  349. 09_IX._Neural_Networks-_Learning_Week_5/04_Implementation_Note-_Unrolling_Parameters_8_min.txt 7KB
  350. 02_II._Linear_Regression_with_One_Variable_Week_1/01_Model_Representation_8_min.txt 7KB
  351. 10_X._Advice_for_Applying_Machine_Learning_Week_6/07_Deciding_What_to_Do_Next_Revisited_7_min.txt 7KB
  352. 01_I._Introduction_Week_1/01_Welcome_7_min.txt 7KB
  353. 02_II._Linear_Regression_with_One_Variable_Week_1/02_Cost_Function_8_min.txt 7KB
  354. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/02_Gradient_Descent_for_Multiple_Variables_5_min.srt 7KB
  355. 06_VI._Logistic_Regression_Week_3/02_Hypothesis_Representation_7_min.txt 6KB
  356. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/01_Multiple_Features_8_min.txt 6KB
  357. 13_XIII._Clustering_Week_8/03_Optimization_Objective_7_min.txt 6KB
  358. 10_X._Advice_for_Applying_Machine_Learning_Week_6/02_Evaluating_a_Hypothesis_8_min.txt 6KB
  359. 09_IX._Neural_Networks-_Learning_Week_5/01_Cost_Function_7_min.txt 6KB
  360. 06_VI._Logistic_Regression_Week_3/07_Multiclass_Classification-_One-vs-all_6_min.txt 6KB
  361. 10_X._Advice_for_Applying_Machine_Learning_Week_6/01_Deciding_What_to_Try_Next_6_min.txt 6KB
  362. 02_II._Linear_Regression_with_One_Variable_Week_1/08_Whats_Next_6_min.txt 6KB
  363. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/07_Normal_Equation_Noninvertibility_Optional_6_min.txt 6KB
  364. 08_VIII._Neural_Networks-_Representation_Week_4/05_Examples_and_Intuitions_I_7_min.txt 6KB
  365. 17_XVII._Large_Scale_Machine_Learning_Week_10/03_Mini-Batch_Gradient_Descent_6_min.txt 6KB
  366. 03_III._Linear_Algebra_Review_Week_1_Optional/02_Addition_and_Scalar_Multiplication_7_min.txt 6KB
  367. 17_XVII._Large_Scale_Machine_Learning_Week_10/01_Learning_With_Large_Datasets_6_min.txt 5KB
  368. 14_XIV._Dimensionality_Reduction_Week_8/02_Motivation_II-_Visualization_6_min.txt 5KB
  369. 09_IX._Neural_Networks-_Learning_Week_5/08_Autonomous_Driving_7_min.txt 5KB
  370. 19_XIX._Conclusion/01_Summary_and_Thank_You_5_min.txt 5KB
  371. 05_V._Octave_Tutorial_Week_2/07_Working_on_and_Submitting_Programming_Exercises_4_min.srt 4KB
  372. 04_IV._Linear_Regression_with_Multiple_Variables_Week_2/02_Gradient_Descent_for_Multiple_Variables_5_min.txt 4KB
  373. 14_XIV._Dimensionality_Reduction_Week_8/06_Reconstruction_from_Compressed_Representation_4_min.txt 3KB
  374. 08_VIII._Neural_Networks-_Representation_Week_4/07_Multiclass_Classification_4_min.txt 3KB
  375. 13_XIII._Clustering_Week_8/01_Unsupervised_Learning-_Introduction_3_min.txt 3KB
  376. 05_V._Octave_Tutorial_Week_2/07_Working_on_and_Submitting_Programming_Exercises_4_min.txt 3KB