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Ml 005

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ml-005

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Total Size

1.6 GB

Total Files

376

Last Seen

2024-11-14 23:46

Hash

E8B1F9C5BF555FE58BC73ADDB83457DD6DA69630

/01_I._Introduction_Week_1/

01_Welcome_7_min.mp4

12.5 MB

01_Welcome_7_min.pdf

3.5 MB

01_Welcome_7_min.pptx

4.2 MB

01_Welcome_7_min.srt

10.1 KB

01_Welcome_7_min.txt

6.9 KB

02_What_is_Machine_Learning_7_min.mp4

9.8 MB

02_What_is_Machine_Learning_7_min.srt

10.4 KB

02_What_is_Machine_Learning_7_min.txt

7.1 KB

03_Supervised_Learning_12_min.mp4

14.1 MB

03_Supervised_Learning_12_min.srt

17.2 KB

03_Supervised_Learning_12_min.txt

11.8 KB

04_Unsupervised_Learning_14_min.mp4

17.5 MB

04_Unsupervised_Learning_14_min.srt

29.8 KB

04_Unsupervised_Learning_14_min.txt

14.2 KB

/02_II._Linear_Regression_with_One_Variable_Week_1/

01_Model_Representation_8_min.mp4

9.4 MB

01_Model_Representation_8_min.pdf

3.0 MB

01_Model_Representation_8_min.pptx

5.6 MB

01_Model_Representation_8_min.srt

10.2 KB

01_Model_Representation_8_min.txt

7.0 KB

02_Cost_Function_8_min.mp4

9.5 MB

02_Cost_Function_8_min.srt

10.1 KB

02_Cost_Function_8_min.txt

6.9 KB

03_Cost_Function_-_Intuition_I_11_min.mp4

12.8 MB

03_Cost_Function_-_Intuition_I_11_min.srt

12.4 KB

03_Cost_Function_-_Intuition_I_11_min.txt

8.5 KB

04_Cost_Function_-_Intuition_II_9_min.mp4

11.9 MB

04_Cost_Function_-_Intuition_II_9_min.srt

11.4 KB

04_Cost_Function_-_Intuition_II_9_min.txt

7.9 KB

05_Gradient_Descent_11_min.mp4

14.2 MB

05_Gradient_Descent_11_min.srt

15.8 KB

05_Gradient_Descent_11_min.txt

10.6 KB

06_Gradient_Descent_Intuition_12_min.mp4

13.7 MB

06_Gradient_Descent_Intuition_12_min.srt

15.9 KB

06_Gradient_Descent_Intuition_12_min.txt

11.0 KB

07_Gradient_Descent_For_Linear_Regression_10_min.mp4

12.8 MB

07_Gradient_Descent_For_Linear_Regression_10_min.srt

19.2 KB

07_Gradient_Descent_For_Linear_Regression_10_min.txt

9.0 KB

08_Whats_Next_6_min.mp4

6.4 MB

08_Whats_Next_6_min.srt

8.7 KB

08_Whats_Next_6_min.txt

6.0 KB

/03_III._Linear_Algebra_Review_Week_1_Optional/

01_Matrices_and_Vectors_9_min.mp4

10.0 MB

01_Matrices_and_Vectors_9_min.pdf

1.9 MB

01_Matrices_and_Vectors_9_min.pptx

5.2 MB

01_Matrices_and_Vectors_9_min.srt

16.3 KB

01_Matrices_and_Vectors_9_min.txt

7.2 KB

02_Addition_and_Scalar_Multiplication_7_min.mp4

7.8 MB

02_Addition_and_Scalar_Multiplication_7_min.srt

12.3 KB

02_Addition_and_Scalar_Multiplication_7_min.txt

5.6 KB

03_Matrix_Vector_Multiplication_14_min.mp4

15.7 MB

03_Matrix_Vector_Multiplication_14_min.srt

24.8 KB

03_Matrix_Vector_Multiplication_14_min.txt

11.1 KB

04_Matrix_Matrix_Multiplication_11_min.mp4

13.2 MB

04_Matrix_Matrix_Multiplication_11_min.srt

21.1 KB

04_Matrix_Matrix_Multiplication_11_min.txt

9.3 KB

05_Matrix_Multiplication_Properties_9_min.mp4

10.3 MB

05_Matrix_Multiplication_Properties_9_min.srt

17.2 KB

05_Matrix_Multiplication_Properties_9_min.txt

7.6 KB

06_Inverse_and_Transpose_11_min.mp4

13.5 MB

06_Inverse_and_Transpose_11_min.srt

21.6 KB

06_Inverse_and_Transpose_11_min.txt

9.5 KB

/04_IV._Linear_Regression_with_Multiple_Variables_Week_2/

01_Multiple_Features_8_min.mp4

9.3 MB

01_Multiple_Features_8_min.pdf

1.8 MB

01_Multiple_Features_8_min.pptx

4.6 MB

01_Multiple_Features_8_min.srt

14.9 KB

01_Multiple_Features_8_min.txt

6.6 KB

02_Gradient_Descent_for_Multiple_Variables_5_min.mp4

6.1 MB

02_Gradient_Descent_for_Multiple_Variables_5_min.srt

6.8 KB

02_Gradient_Descent_for_Multiple_Variables_5_min.txt

4.4 KB

03_Gradient_Descent_in_Practice_I_-_Feature_Scaling_9_min.mp4

9.9 MB

03_Gradient_Descent_in_Practice_I_-_Feature_Scaling_9_min.srt

17.4 KB

03_Gradient_Descent_in_Practice_I_-_Feature_Scaling_9_min.txt

7.9 KB

04_Gradient_Descent_in_Practice_II_-_Learning_Rate_9_min.mp4

9.7 MB

04_Gradient_Descent_in_Practice_II_-_Learning_Rate_9_min.srt

18.9 KB

04_Gradient_Descent_in_Practice_II_-_Learning_Rate_9_min.txt

8.7 KB

05_Features_and_Polynomial_Regression_8_min.mp4

8.7 MB

05_Features_and_Polynomial_Regression_8_min.srt

16.3 KB

05_Features_and_Polynomial_Regression_8_min.txt

7.6 KB

06_Normal_Equation_16_min.mp4

18.0 MB

06_Normal_Equation_16_min.srt

31.9 KB

06_Normal_Equation_16_min.txt

15.1 KB

07_Normal_Equation_Noninvertibility_Optional_6_min.mp4

6.5 MB

07_Normal_Equation_Noninvertibility_Optional_6_min.srt

10.0 KB

07_Normal_Equation_Noninvertibility_Optional_6_min.txt

5.8 KB

/05_V._Octave_Tutorial_Week_2/

01_Basic_Operations_14_min.mp4

18.6 MB

01_Basic_Operations_14_min.pdf

248.2 KB

01_Basic_Operations_14_min.pptx

417.1 KB

01_Basic_Operations_14_min.srt

26.0 KB

01_Basic_Operations_14_min.txt

11.9 KB

02_Moving_Data_Around_16_min.mp4

21.8 MB

02_Moving_Data_Around_16_min.srt

29.3 KB

02_Moving_Data_Around_16_min.txt

13.2 KB

03_Computing_on_Data_13_min.mp4

16.0 MB

03_Computing_on_Data_13_min.srt

25.5 KB

03_Computing_on_Data_13_min.txt

11.3 KB

04_Plotting_Data_10_min.mp4

14.0 MB

04_Plotting_Data_10_min.srt

17.8 KB

04_Plotting_Data_10_min.txt

7.9 KB

05_Control_Statements-_for_while_if_statements_13_min.mp4

17.3 MB

05_Control_Statements-_for_while_if_statements_13_min.srt

23.9 KB

05_Control_Statements-_for_while_if_statements_13_min.txt

10.9 KB

06_Vectorization_14_min.mp4

16.9 MB

06_Vectorization_14_min.srt

25.8 KB

06_Vectorization_14_min.txt

11.7 KB

07_Working_on_and_Submitting_Programming_Exercises_4_min.mp4

5.7 MB

07_Working_on_and_Submitting_Programming_Exercises_4_min.srt

4.5 KB

07_Working_on_and_Submitting_Programming_Exercises_4_min.txt

3.1 KB

/06_VI._Logistic_Regression_Week_3/

01_Classification_8_min.mp4

9.2 MB

01_Classification_8_min.pdf

2.2 MB

01_Classification_8_min.pptx

4.0 MB

01_Classification_8_min.srt

16.6 KB

01_Classification_8_min.txt

7.8 KB

02_Hypothesis_Representation_7_min.mp4

8.7 MB

02_Hypothesis_Representation_7_min.srt

14.5 KB

02_Hypothesis_Representation_7_min.txt

6.6 KB

03_Decision_Boundary_15_min.mp4

17.6 MB

03_Decision_Boundary_15_min.srt

27.4 KB

03_Decision_Boundary_15_min.txt

12.4 KB

04_Cost_Function_11_min.mp4

13.7 MB

04_Cost_Function_11_min.srt

22.7 KB

04_Cost_Function_11_min.txt

10.2 KB

05_Simplified_Cost_Function_and_Gradient_Descent_10_min.mp4

12.5 MB

05_Simplified_Cost_Function_and_Gradient_Descent_10_min.srt

20.0 KB

05_Simplified_Cost_Function_and_Gradient_Descent_10_min.txt

9.3 KB

06_Advanced_Optimization_14_min.mp4

19.0 MB

06_Advanced_Optimization_14_min.srt

28.5 KB

06_Advanced_Optimization_14_min.txt

13.8 KB

07_Multiclass_Classification-_One-vs-all_6_min.mp4

7.3 MB

07_Multiclass_Classification-_One-vs-all_6_min.srt

12.9 KB

07_Multiclass_Classification-_One-vs-all_6_min.txt

6.1 KB

/07_VII._Regularization_Week_3/

01_The_Problem_of_Overfitting_10_min.mp4

11.7 MB

01_The_Problem_of_Overfitting_10_min.pdf

2.5 MB

01_The_Problem_of_Overfitting_10_min.pptx

2.7 MB

01_The_Problem_of_Overfitting_10_min.srt

19.7 KB

01_The_Problem_of_Overfitting_10_min.txt

9.5 KB

02_Cost_Function_10_min.mp4

12.2 MB

02_Cost_Function_10_min.srt

20.2 KB

02_Cost_Function_10_min.txt

9.4 KB

03_Regularized_Linear_Regression_11_min.mp4

12.6 MB

03_Regularized_Linear_Regression_11_min.srt

20.9 KB

03_Regularized_Linear_Regression_11_min.txt

9.7 KB

04_Regularized_Logistic_Regression_9_min.mp4

11.4 MB

04_Regularized_Logistic_Regression_9_min.srt

17.6 KB

04_Regularized_Logistic_Regression_9_min.txt

8.2 KB

/08_VIII._Neural_Networks-_Representation_Week_4/

01_Non-linear_Hypotheses_10_min.mp4

11.4 MB

01_Non-linear_Hypotheses_10_min.pdf

5.2 MB

01_Non-linear_Hypotheses_10_min.pptx

42.3 MB

01_Non-linear_Hypotheses_10_min.srt

19.5 KB

01_Non-linear_Hypotheses_10_min.txt

9.0 KB

02_Neurons_and_the_Brain_8_min.mp4

10.4 MB

02_Neurons_and_the_Brain_8_min.srt

16.8 KB

02_Neurons_and_the_Brain_8_min.txt

7.8 KB

03_Model_Representation_I_12_min.mp4

14.2 MB

03_Model_Representation_I_12_min.srt

22.1 KB

03_Model_Representation_I_12_min.txt

10.0 KB

04_Model_Representation_II_12_min.mp4

14.1 MB

04_Model_Representation_II_12_min.srt

23.0 KB

04_Model_Representation_II_12_min.txt

10.4 KB

05_Examples_and_Intuitions_I_7_min.mp4

8.3 MB

05_Examples_and_Intuitions_I_7_min.srt

13.4 KB

05_Examples_and_Intuitions_I_7_min.txt

5.8 KB

06_Examples_and_Intuitions_II_10_min.mp4

14.7 MB

06_Examples_and_Intuitions_II_10_min.srt

17.5 KB

06_Examples_and_Intuitions_II_10_min.txt

7.8 KB

07_Multiclass_Classification_4_min.mp4

5.1 MB

07_Multiclass_Classification_4_min.srt

7.6 KB

07_Multiclass_Classification_4_min.txt

3.5 KB

/09_IX._Neural_Networks-_Learning_Week_5/

01_Cost_Function_7_min.mp4

8.0 MB

01_Cost_Function_7_min.pdf

3.5 MB

01_Cost_Function_7_min.pptx

5.2 MB

01_Cost_Function_7_min.srt

13.5 KB

01_Cost_Function_7_min.txt

6.2 KB

02_Backpropagation_Algorithm_12_min.mp4

14.6 MB

02_Backpropagation_Algorithm_12_min.srt

23.4 KB

02_Backpropagation_Algorithm_12_min.txt

10.6 KB

03_Backpropagation_Intuition_13_min.mp4

16.2 MB

03_Backpropagation_Intuition_13_min.srt

25.6 KB

03_Backpropagation_Intuition_13_min.txt

11.6 KB

04_Implementation_Note-_Unrolling_Parameters_8_min.mp4

9.8 MB

04_Implementation_Note-_Unrolling_Parameters_8_min.srt

15.3 KB

04_Implementation_Note-_Unrolling_Parameters_8_min.txt

7.0 KB

05_Gradient_Checking_12_min.mp4

14.2 MB

05_Gradient_Checking_12_min.srt

24.1 KB

05_Gradient_Checking_12_min.txt

11.7 KB

06_Random_Initialization_7_min.mp4

7.9 MB

06_Random_Initialization_7_min.srt

14.3 KB

06_Random_Initialization_7_min.txt

7.1 KB

07_Putting_It_Together_14_min.mp4

17.1 MB

07_Putting_It_Together_14_min.srt

28.3 KB

07_Putting_It_Together_14_min.txt

13.4 KB

08_Autonomous_Driving_7_min.mp4

15.6 MB

08_Autonomous_Driving_7_min.srt

10.0 KB

08_Autonomous_Driving_7_min.txt

4.7 KB

/10_X._Advice_for_Applying_Machine_Learning_Week_6/

01_Deciding_What_to_Try_Next_6_min.mp4

7.2 MB

01_Deciding_What_to_Try_Next_6_min.pdf

1.6 MB

01_Deciding_What_to_Try_Next_6_min.pptx

3.5 MB

01_Deciding_What_to_Try_Next_6_min.srt

12.7 KB

01_Deciding_What_to_Try_Next_6_min.txt

6.1 KB

02_Evaluating_a_Hypothesis_8_min.mp4

8.9 MB

02_Evaluating_a_Hypothesis_8_min.srt

11.8 KB

02_Evaluating_a_Hypothesis_8_min.txt

6.5 KB

03_Model_Selection_and_Train-Validation-Test_Sets_12_min.mp4

14.8 MB

03_Model_Selection_and_Train-Validation-Test_Sets_12_min.srt

25.2 KB

03_Model_Selection_and_Train-Validation-Test_Sets_12_min.txt

11.5 KB

04_Diagnosing_Bias_vs._Variance_8_min.mp4

9.4 MB

04_Diagnosing_Bias_vs._Variance_8_min.srt

16.5 KB

04_Diagnosing_Bias_vs._Variance_8_min.txt

7.9 KB

05_Regularization_and_Bias-Variance_11_min.mp4

13.2 MB

05_Regularization_and_Bias-Variance_11_min.srt

23.1 KB

05_Regularization_and_Bias-Variance_11_min.txt

10.6 KB

06_Learning_Curves_12_min.mp4

13.5 MB

06_Learning_Curves_12_min.srt

25.3 KB

06_Learning_Curves_12_min.txt

12.0 KB

07_Deciding_What_to_Do_Next_Revisited_7_min.mp4

8.6 MB

07_Deciding_What_to_Do_Next_Revisited_7_min.srt

14.4 KB

07_Deciding_What_to_Do_Next_Revisited_7_min.txt

7.0 KB

/11_XI._Machine_Learning_System_Design_Week_6/

01_Prioritizing_What_to_Work_On_10_min.mp4

11.7 MB

01_Prioritizing_What_to_Work_On_10_min.pdf

509.6 KB

01_Prioritizing_What_to_Work_On_10_min.pptx

2.0 MB

01_Prioritizing_What_to_Work_On_10_min.srt

20.1 KB

01_Prioritizing_What_to_Work_On_10_min.txt

9.3 KB

02_Error_Analysis_13_min.mp4

16.2 MB

02_Error_Analysis_13_min.srt

28.1 KB

02_Error_Analysis_13_min.txt

13.3 KB

03_Error_Metrics_for_Skewed_Classes_12_min.mp4

13.9 MB

03_Error_Metrics_for_Skewed_Classes_12_min.srt

22.6 KB

03_Error_Metrics_for_Skewed_Classes_12_min.txt

10.4 KB

04_Trading_Off_Precision_and_Recall_14_min.mp4

16.8 MB

04_Trading_Off_Precision_and_Recall_14_min.srt

29.3 KB

04_Trading_Off_Precision_and_Recall_14_min.txt

13.5 KB

05_Data_For_Machine_Learning_11_min.mp4

13.5 MB

05_Data_For_Machine_Learning_11_min.srt

23.7 KB

05_Data_For_Machine_Learning_11_min.txt

11.0 KB

/12_XII._Support_Vector_Machines_Week_7/

01_Optimization_Objective_15_min.mp4

17.5 MB

01_Optimization_Objective_15_min.pdf

2.4 MB

01_Optimization_Objective_15_min.pptx

5.6 MB

01_Optimization_Objective_15_min.srt

30.1 KB

01_Optimization_Objective_15_min.txt

13.8 KB

02_Large_Margin_Intuition_11_min.mp4

12.4 MB

02_Large_Margin_Intuition_11_min.srt

21.8 KB

02_Large_Margin_Intuition_11_min.txt

10.2 KB

03_Mathematics_Behind_Large_Margin_Classification_Optional_20_min.mp4

22.9 MB

03_Mathematics_Behind_Large_Margin_Classification_Optional_20_min.srt

36.7 KB

03_Mathematics_Behind_Large_Margin_Classification_Optional_20_min.txt

16.8 KB

04_Kernels_I_16_min.mp4

18.4 MB

04_Kernels_I_16_min.srt

29.8 KB

04_Kernels_I_16_min.txt

13.5 KB

05_Kernels_II_16_min.mp4

18.3 MB

05_Kernels_II_16_min.srt

31.4 KB

05_Kernels_II_16_min.txt

14.8 KB

06_Using_An_SVM_21_min.mp4

25.1 MB

06_Using_An_SVM_21_min.srt

44.5 KB

06_Using_An_SVM_21_min.txt

21.2 KB

/13_XIII._Clustering_Week_8/

01_Unsupervised_Learning-_Introduction_3_min.mp4

4.0 MB

01_Unsupervised_Learning-_Introduction_3_min.pdf

2.3 MB

01_Unsupervised_Learning-_Introduction_3_min.pptx

2.9 MB

01_Unsupervised_Learning-_Introduction_3_min.srt

7.2 KB

01_Unsupervised_Learning-_Introduction_3_min.txt

3.5 KB

02_K-Means_Algorithm_13_min.mp4

14.5 MB

02_K-Means_Algorithm_13_min.srt

26.9 KB

02_K-Means_Algorithm_13_min.txt

12.3 KB

03_Optimization_Objective_7_min.mp4

8.5 MB

03_Optimization_Objective_7_min.srt

14.0 KB

03_Optimization_Objective_7_min.txt

6.5 KB

04_Random_Initialization_8_min.mp4

9.1 MB

04_Random_Initialization_8_min.srt

16.6 KB

04_Random_Initialization_8_min.txt

8.0 KB

05_Choosing_the_Number_of_Clusters_8_min.mp4

9.9 MB

05_Choosing_the_Number_of_Clusters_8_min.srt

18.4 KB

05_Choosing_the_Number_of_Clusters_8_min.txt

8.6 KB

/14_XIV._Dimensionality_Reduction_Week_8/

01_Motivation_I-_Data_Compression_10_min.mp4

15.0 MB

01_Motivation_I-_Data_Compression_10_min.pdf

1.7 MB

01_Motivation_I-_Data_Compression_10_min.pptx

3.8 MB

01_Motivation_I-_Data_Compression_10_min.srt

20.6 KB

01_Motivation_I-_Data_Compression_10_min.txt

9.4 KB

02_Motivation_II-_Visualization_6_min.mp4

6.6 MB

02_Motivation_II-_Visualization_6_min.srt

10.4 KB

02_Motivation_II-_Visualization_6_min.txt

4.8 KB

03_Principal_Component_Analysis_Problem_Formulation_9_min.mp4

11.0 MB

03_Principal_Component_Analysis_Problem_Formulation_9_min.srt

18.9 KB

03_Principal_Component_Analysis_Problem_Formulation_9_min.txt

8.8 KB

04_Principal_Component_Analysis_Algorithm_15_min.mp4

18.7 MB

04_Principal_Component_Analysis_Algorithm_15_min.srt

29.3 KB

04_Principal_Component_Analysis_Algorithm_15_min.txt

13.1 KB

05_Choosing_the_Number_of_Principal_Components_11_min.mp4

12.4 MB

05_Choosing_the_Number_of_Principal_Components_11_min.srt

21.7 KB

05_Choosing_the_Number_of_Principal_Components_11_min.txt

9.9 KB

06_Reconstruction_from_Compressed_Representation_4_min.mp4

5.2 MB

06_Reconstruction_from_Compressed_Representation_4_min.srt

7.7 KB

06_Reconstruction_from_Compressed_Representation_4_min.txt

3.6 KB

07_Advice_for_Applying_PCA_13_min.mp4

15.4 MB

07_Advice_for_Applying_PCA_13_min.srt

27.0 KB

07_Advice_for_Applying_PCA_13_min.txt

12.5 KB

/15_XV._Anomaly_Detection_Week_9/

01_Problem_Motivation_8_min.mp4

8.8 MB

01_Problem_Motivation_8_min.pdf

3.5 MB

01_Problem_Motivation_8_min.pptx

6.3 MB

01_Problem_Motivation_8_min.srt

16.4 KB

01_Problem_Motivation_8_min.txt

7.7 KB

02_Gaussian_Distribution_10_min.mp4

12.3 MB

02_Gaussian_Distribution_10_min.srt

21.1 KB

02_Gaussian_Distribution_10_min.txt

10.0 KB

03_Algorithm_12_min.mp4

14.6 MB

03_Algorithm_12_min.srt

24.1 KB

03_Algorithm_12_min.txt

10.9 KB

04_Developing_and_Evaluating_an_Anomaly_Detection_System_13_min.mp4

15.9 MB

04_Developing_and_Evaluating_an_Anomaly_Detection_System_13_min.srt

27.9 KB

04_Developing_and_Evaluating_an_Anomaly_Detection_System_13_min.txt

13.2 KB

05_Anomaly_Detection_vs._Supervised_Learning_8_min.mp4

9.7 MB

05_Anomaly_Detection_vs._Supervised_Learning_8_min.srt

16.8 KB

05_Anomaly_Detection_vs._Supervised_Learning_8_min.txt

8.0 KB

06_Choosing_What_Features_to_Use_12_min.mp4

14.8 MB

06_Choosing_What_Features_to_Use_12_min.srt

25.7 KB

06_Choosing_What_Features_to_Use_12_min.txt

12.0 KB

07_Multivariate_Gaussian_Distribution_Optional_14_min.mp4

16.7 MB

07_Multivariate_Gaussian_Distribution_Optional_14_min.srt

28.1 KB

07_Multivariate_Gaussian_Distribution_Optional_14_min.txt

12.7 KB

08_Anomaly_Detection_using_the_Multivariate_Gaussian_Distribution_Optional_14_min.mp4

17.1 MB

08_Anomaly_Detection_using_the_Multivariate_Gaussian_Distribution_Optional_14_min.srt

26.9 KB

08_Anomaly_Detection_using_the_Multivariate_Gaussian_Distribution_Optional_14_min.txt

13.2 KB

/16_XVI._Recommender_Systems_Week_9/

01_Problem_Formulation_8_min.mp4

11.2 MB

01_Problem_Formulation_8_min.pdf

1.5 MB

01_Problem_Formulation_8_min.pptx

3.8 MB

01_Problem_Formulation_8_min.srt

17.2 KB

01_Problem_Formulation_8_min.txt

8.1 KB

02_Content_Based_Recommendations_15_min.mp4

17.8 MB

02_Content_Based_Recommendations_15_min.srt

29.3 KB

02_Content_Based_Recommendations_15_min.txt

13.3 KB

03_Collaborative_Filtering_10_min.mp4

12.3 MB

03_Collaborative_Filtering_10_min.srt

20.7 KB

03_Collaborative_Filtering_10_min.txt

9.7 KB

04_Collaborative_Filtering_Algorithm_9_min.mp4

10.8 MB

04_Collaborative_Filtering_Algorithm_9_min.srt

16.9 KB

04_Collaborative_Filtering_Algorithm_9_min.txt

7.9 KB

05_Vectorization-_Low_Rank_Matrix_Factorization_8_min.mp4

10.2 MB

05_Vectorization-_Low_Rank_Matrix_Factorization_8_min.srt

16.7 KB

05_Vectorization-_Low_Rank_Matrix_Factorization_8_min.txt

7.8 KB

06_Implementational_Detail-_Mean_Normalization_9_min.mp4

10.2 MB

06_Implementational_Detail-_Mean_Normalization_9_min.srt

17.0 KB

06_Implementational_Detail-_Mean_Normalization_9_min.txt

7.8 KB

/17_XVII._Large_Scale_Machine_Learning_Week_10/

01_Learning_With_Large_Datasets_6_min.mp4

6.8 MB

01_Learning_With_Large_Datasets_6_min.pdf

2.1 MB

01_Learning_With_Large_Datasets_6_min.pptx

4.0 MB

01_Learning_With_Large_Datasets_6_min.srt

8.1 KB

01_Learning_With_Large_Datasets_6_min.txt

5.5 KB

02_Stochastic_Gradient_Descent_13_min.mp4

16.1 MB

02_Stochastic_Gradient_Descent_13_min.srt

18.6 KB

02_Stochastic_Gradient_Descent_13_min.txt

13.1 KB

03_Mini-Batch_Gradient_Descent_6_min.mp4

7.7 MB

03_Mini-Batch_Gradient_Descent_6_min.srt

8.0 KB

03_Mini-Batch_Gradient_Descent_6_min.txt

5.7 KB

04_Stochastic_Gradient_Descent_Convergence_12_min.mp4

14.0 MB

04_Stochastic_Gradient_Descent_Convergence_12_min.srt

16.5 KB

04_Stochastic_Gradient_Descent_Convergence_12_min.txt

11.9 KB

05_Online_Learning_13_min.mp4

15.6 MB

05_Online_Learning_13_min.srt

28.3 KB

05_Online_Learning_13_min.txt

13.1 KB

06_Map_Reduce_and_Data_Parallelism_14_min.mp4

16.8 MB

06_Map_Reduce_and_Data_Parallelism_14_min.srt

29.6 KB

06_Map_Reduce_and_Data_Parallelism_14_min.txt

13.7 KB

/18_XVIII._Application_Example-_Photo_OCR/

01_Problem_Description_and_Pipeline_7_min.mp4

8.3 MB

01_Problem_Description_and_Pipeline_7_min.pdf

2.1 MB

01_Problem_Description_and_Pipeline_7_min.pptx

6.4 MB

01_Problem_Description_and_Pipeline_7_min.srt

15.1 KB

01_Problem_Description_and_Pipeline_7_min.txt

7.0 KB

02_Sliding_Windows_15_min.mp4

17.3 MB

02_Sliding_Windows_15_min.srt

32.2 KB

02_Sliding_Windows_15_min.txt

14.9 KB

03_Getting_Lots_of_Data_and_Artificial_Data_16_min.mp4

19.7 MB

03_Getting_Lots_of_Data_and_Artificial_Data_16_min.srt

36.0 KB

03_Getting_Lots_of_Data_and_Artificial_Data_16_min.txt

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04_Ceiling_Analysis-_What_Part_of_the_Pipeline_to_Work_on_Next_14_min.mp4

16.9 MB

04_Ceiling_Analysis-_What_Part_of_the_Pipeline_to_Work_on_Next_14_min.srt

31.2 KB

04_Ceiling_Analysis-_What_Part_of_the_Pipeline_to_Work_on_Next_14_min.txt

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/19_XIX._Conclusion/

01_Summary_and_Thank_You_5_min.mp4

6.4 MB

01_Summary_and_Thank_You_5_min.srt

8.3 KB

01_Summary_and_Thank_You_5_min.txt

4.6 KB

/

entered_login.html

1.4 MB

 

Total files 376


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