|
Please note that this page does not hosts or makes available any of the listed filenames. You
cannot download any of those files from here.
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| [CourseClub.ME].url |
122B |
| [FCS Forum].url |
133B |
| [FreeCourseSite.com].url |
127B |
| 1. Batch and Stochastic Gradient Descent.mp4 |
77.23MB |
| 1. Batch and Stochastic Gradient Descent.srt |
11.47KB |
| 1. Bonus!.html |
2.35KB |
| 1. Getting Started - How to Get Help.mp4 |
8.36MB |
| 1. Getting Started - How to Get Help.srt |
1.73KB |
| 1. Handing Large Datasets.mp4 |
44.46MB |
| 1. Handing Large Datasets.srt |
7.03KB |
| 1. Handwriting Recognition.mp4 |
24.69MB |
| 1. Handwriting Recognition.srt |
3.57KB |
| 1. How K-Nearest Neighbor Works.mp4 |
93.32MB |
| 1. How K-Nearest Neighbor Works.srt |
13.02KB |
| 1. Introducing Logistic Regression.mp4 |
23.44MB |
| 1. Introducing Logistic Regression.srt |
3.91KB |
| 1. KNN with Regression.mp4 |
54.98MB |
| 1. KNN with Regression.srt |
8.00KB |
| 1. Let's Get Our Bearings.mp4 |
76.61MB |
| 1. Let's Get Our Bearings.srt |
12.26KB |
| 1. Linear Regression.mp4 |
25.38MB |
| 1. Linear Regression.srt |
4.46KB |
| 1. Loading CSV Files.mp4 |
15.85MB |
| 1. Loading CSV Files.srt |
3.38KB |
| 1. Multinominal Logistic Regression.mp4 |
25.00MB |
| 1. Multinominal Logistic Regression.srt |
3.60KB |
| 1. Observing Changing Learning Rate and MSE.mp4 |
45.83MB |
| 1. Observing Changing Learning Rate and MSE.srt |
6.79KB |
| 1. Project Overview.mp4 |
57.05MB |
| 1. Project Overview.srt |
9.42KB |
| 1. Refactoring the Linear Regression Class.mp4 |
72.71MB |
| 1. Refactoring the Linear Regression Class.srt |
11.62KB |
| 10. Answering Common Questions.mp4 |
40.95MB |
| 10. Answering Common Questions.srt |
5.96KB |
| 10. Backfilling Variance.mp4 |
25.72MB |
| 10. Backfilling Variance.srt |
4.10KB |
| 10. Creating Slices of Data.mp4 |
58.91MB |
| 10. Creating Slices of Data.srt |
11.60KB |
| 10. Encoding Label Values.mp4 |
48.58MB |
| 10. Encoding Label Values.srt |
6.88KB |
| 10. Gauging Accuracy.mp4 |
54.02MB |
| 10. Gauging Accuracy.srt |
7.98KB |
| 10. More on Matrix Multiplication.mp4 |
63.25MB |
| 10. More on Matrix Multiplication.srt |
9.42KB |
| 10. Reapplying Standardization.mp4 |
57.96MB |
| 10. Reapplying Standardization.srt |
8.51KB |
| 10. Reporting Error Percentages.mp4 |
64.49MB |
| 10. Reporting Error Percentages.srt |
9.31KB |
| 10. Sigmoid vs Softmax.mp4 |
62.75MB |
| 10. Sigmoid vs Softmax.srt |
9.83KB |
| 10. Splitting Test and Training.mp4 |
75.65MB |
| 10. Splitting Test and Training.srt |
12.01KB |
| 10. Tensorflow's Eager Memory Usage.mp4 |
46.81MB |
| 10. Tensorflow's Eager Memory Usage.srt |
6.94KB |
| 11. Cleaning up Tensors with Tidy.mp4 |
24.26MB |
| 11. Cleaning up Tensors with Tidy.srt |
4.39KB |
| 11. Fixing Standardization Issues.mp4 |
47.84MB |
| 11. Fixing Standardization Issues.srt |
8.94KB |
| 11. Gradient Descent with Multiple Terms.mp4 |
44.20MB |
| 11. Gradient Descent with Multiple Terms.srt |
7.46KB |
| 11. Matrix Form of Slope Equations.mp4 |
59.60MB |
| 11. Matrix Form of Slope Equations.srt |
9.56KB |
| 11. Normalization or Standardization.mp4 |
92.97MB |
| 11. Normalization or Standardization.srt |
11.73KB |
| 11. Printing a Report.mp4 |
33.29MB |
| 11. Printing a Report.srt |
5.03KB |
| 11. Refactoring Sigmoid to Softmax.mp4 |
48.87MB |
| 11. Refactoring Sigmoid to Softmax.srt |
7.51KB |
| 11. Tensor Concatenation.mp4 |
44.13MB |
| 11. Tensor Concatenation.srt |
8.53KB |
| 11. Updating Linear Regression for Logistic Regression.mp4 |
70.29MB |
| 11. Updating Linear Regression for Logistic Regression.srt |
11.09KB |
| 12. Implementing Accuracy Gauges.mp4 |
28.71MB |
| 12. Implementing Accuracy Gauges.srt |
4.27KB |
| 12. Implementing TF Tidy.mp4 |
37.60MB |
| 12. Implementing TF Tidy.srt |
5.40KB |
| 12. Massaging Learning Rates.mp4 |
36.44MB |
| 12. Massaging Learning Rates.srt |
4.71KB |
| 12. Multiple Terms in Action.mp4 |
123.16MB |
| 12. Multiple Terms in Action.srt |
16.50KB |
| 12. Numerical Standardization with Tensorflow.mp4 |
53.06MB |
| 12. Numerical Standardization with Tensorflow.srt |
11.85KB |
| 12. Refactoring Accuracy Reporting.mp4 |
52.30MB |
| 12. Refactoring Accuracy Reporting.srt |
104.62MB |
| 12. Simplification with Matrix Multiplication.mp4 |
90.79MB |
| 12. Simplification with Matrix Multiplication.srt |
14.45KB |
| 12. Summing Values Along an Axis.mp4 |
41.36MB |
| 12. Summing Values Along an Axis.srt |
8.30KB |
| 12. The Sigmoid Equation with Logistic Regression.mp4 |
32.77MB |
| 12. The Sigmoid Equation with Logistic Regression.srt |
6.78KB |
| 13. Applying Standardization.mp4 |
41.46MB |
| 13. Applying Standardization.srt |
6.17KB |
| 13. A Touch More Refactoring.mp4 |
87.42MB |
| 13. A Touch More Refactoring.srt |
11.82KB |
| 13. Calculating Accuracy.mp4 |
31.30MB |
| 13. Calculating Accuracy.srt |
5.11KB |
| 13. How it All Works Together!.mp4 |
143.82MB |
| 13. How it All Works Together!.srt |
20.87KB |
| 13. Investigating Optimal K Values.mp4 |
129.14MB |
| 13. Investigating Optimal K Values.srt |
18.08KB |
| 13. Massaging Dimensions with ExpandDims.mp4 |
57.01MB |
| 13. Massaging Dimensions with ExpandDims.srt |
12.31KB |
| 13. Moving Towards Multivariate Regression.mp4 |
121.42MB |
| 13. Moving Towards Multivariate Regression.srt |
18.13KB |
| 13. Tidying the Training Loop.mp4 |
45.99MB |
| 13. Tidying the Training Loop.srt |
6.25KB |
| 14. Debugging Calculations.mp4 |
86.72MB |
| 14. Debugging Calculations.srt |
13.03KB |
| 14. Gauging Classification Accuracy.mp4 |
36.70MB |
| 14. Gauging Classification Accuracy.srt |
5.42KB |
| 14. Measuring Reduced Memory Usage.mp4 |
18.12MB |
| 14. Measuring Reduced Memory Usage.srt |
2.49KB |
| 14. Refactoring for Multivariate Analysis.mp4 |
82.35MB |
| 14. Refactoring for Multivariate Analysis.srt |
11.95KB |
| 14. Updating KNN for Multiple Features.mp4 |
70.61MB |
| 14. Updating KNN for Multiple Features.srt |
10.29KB |
| 15. Implementing a Test Function.mp4 |
54.71MB |
| 15. Implementing a Test Function.srt |
8.56KB |
| 15. Learning Rate Optimization.mp4 |
76.69MB |
| 15. Learning Rate Optimization.srt |
12.52KB |
| 15. Multi-Dimensional KNN.mp4 |
44.21MB |
| 15. Multi-Dimensional KNN.srt |
6.30KB |
| 15. One More Optimization.mp4 |
27.50MB |
| 15. One More Optimization.srt |
27.50MB |
| 15. What Now.mp4 |
42.33MB |
| 15. What Now.srt |
6.39KB |
| 16. Final Memory Report.mp4 |
36.24MB |
| 16. Final Memory Report.srt |
4.46KB |
| 16. N-Dimension Distance.mp4 |
78.88MB |
| 16. N-Dimension Distance.srt |
15.25KB |
| 16. Recording MSE History.mp4 |
51.94MB |
| 16. Recording MSE History.srt |
8.15KB |
| 16. Variable Decision Boundaries.mp4 |
68.31MB |
| 16. Variable Decision Boundaries.srt |
11.40KB |
| 17. Arbitrary Feature Spaces.mp4 |
71.25MB |
| 17. Arbitrary Feature Spaces.srt |
13.37KB |
| 17. Mean Squared Error vs Cross Entropy.mp4 |
60.20MB |
| 17. Mean Squared Error vs Cross Entropy.srt |
8.89KB |
| 17. Plotting Cost History.mp4 |
47.59MB |
| 17. Plotting Cost History.srt |
6.61KB |
| 17. Updating Learning Rate.mp4 |
62.14MB |
| 17. Updating Learning Rate.srt |
10.05KB |
| 18. Magnitude Offsets in Features.mp4 |
64.07MB |
| 18. Magnitude Offsets in Features.srt |
8.72KB |
| 18. NaN in Cost History.mp4 |
46.38MB |
| 18. NaN in Cost History.srt |
6.89KB |
| 18. Refactoring with Cross Entropy.mp4 |
49.45MB |
| 18. Refactoring with Cross Entropy.srt |
8.17KB |
| 19. Feature Normalization.mp4 |
72.91MB |
| 19. Feature Normalization.srt |
72.92MB |
| 19. Finishing the Cost Refactor.mp4 |
49.09MB |
| 19. Finishing the Cost Refactor.srt |
6.86KB |
| 19. Fixing Cost History.mp4 |
46.78MB |
| 19. Fixing Cost History.srt |
7.14KB |
| 2. A Change in Data Structure.mp4 |
41.34MB |
| 2. A Change in Data Structure.srt |
41.35MB |
| 2. A Plan to Move Forward.mp4 |
48.65MB |
| 2. A Plan to Move Forward.srt |
7.74KB |
| 2. A Smart Refactor to Multinominal Analysis.mp4 |
49.97MB |
| 2. A Smart Refactor to Multinominal Analysis.srt |
8.24KB |
| 2. A Test Dataset.mp4 |
9.58MB |
| 2. A Test Dataset.srt |
2.89KB |
| 2. Data Loading.mp4 |
43.48MB |
| 2. Data Loading.srt |
43.51MB |
| 2. Greyscale Values.mp4 |
55.34MB |
| 2. Greyscale Values.srt |
7.95KB |
| 2. Lodash Review.mp4 |
64.93MB |
| 2. Lodash Review.srt |
15.24KB |
| 2. Logistic Regression in Action.mp4 |
61.07MB |
| 2. Logistic Regression in Action.srt |
10.85KB |
| 2. Minimizing Memory Usage.mp4 |
38.18MB |
| 2. Minimizing Memory Usage.srt |
7.49KB |
| 2. Plotting MSE Values.mp4 |
61.39MB |
| 2. Plotting MSE Values.srt |
8.21KB |
| 2. Refactoring to One Equation.mp4 |
84.81MB |
| 2. Refactoring to One Equation.srt |
13.91KB |
| 2. Refactoring Towards Batch Gradient Descent.mp4 |
55.11MB |
| 2. Refactoring Towards Batch Gradient Descent.srt |
8.04KB |
| 2. Solving Machine Learning Problems.mp4 |
62.77MB |
| 2. Solving Machine Learning Problems.srt |
9.25KB |
| 2. Why Linear Regression.mp4 |
50.35MB |
| 2. Why Linear Regression.srt |
7.64KB |
| 20. Massaging Learning Parameters.mp4 |
22.55MB |
| 20. Massaging Learning Parameters.srt |
2.78KB |
| 20. Normalization with MinMax.mp4 |
67.04MB |
| 20. Normalization with MinMax.srt |
10.34KB |
| 20. Plotting Changing Cost History.mp4 |
42.95MB |
| 20. Plotting Changing Cost History.srt |
5.68KB |
| 21. Applying Normalization.mp4 |
45.35MB |
| 21. Applying Normalization.srt |
6.93KB |
| 21. Improving Model Accuracy.mp4 |
55.01MB |
| 21. Improving Model Accuracy.srt |
6.71KB |
| 22. Feature Selection with KNN.mp4 |
80.36MB |
| 22. Feature Selection with KNN.srt |
12.74KB |
| 23. Objective Feature Picking.mp4 |
65.98MB |
| 23. Objective Feature Picking.srt |
9.37KB |
| 24. Evaluating Different Feature Values.mp4 |
27.98MB |
| 24. Evaluating Different Feature Values.srt |
4.21KB |
| 3. A Complete Walkthrough.mp4 |
109.13MB |
| 3. A Complete Walkthrough.srt |
15.18KB |
| 3. A Few More Changes.mp4 |
66.17MB |
| 3. A Few More Changes.srt |
10.08KB |
| 3. A Smarter Refactor!.mp4 |
38.29MB |
| 3. A Smarter Refactor!.srt |
5.92KB |
| 3. Bad Equation Fits.mp4 |
55.39MB |
| 3. Bad Equation Fits.srt |
8.64KB |
| 3. Creating Memory Snapshots.mp4 |
49.06MB |
| 3. Creating Memory Snapshots.srt |
8.16KB |
| 3. Default Algorithm Options.mp4 |
62.66MB |
| 3. Default Algorithm Options.srt |
12.73KB |
| 3. Determining Batch Size and Quantity.mp4 |
66.08MB |
| 3. Determining Batch Size and Quantity.srt |
8.83KB |
| 3. Implementing KNN.mp4 |
59.34MB |
| 3. Implementing KNN.srt |
10.55KB |
| 3. KNN with Tensorflow.mp4 |
78.71MB |
| 3. KNN with Tensorflow.srt |
14.95KB |
| 3. Many Features.mp4 |
44.76MB |
| 3. Many Features.srt |
5.34KB |
| 3. Plotting MSE History against B Values.mp4 |
47.80MB |
| 3. Plotting MSE History against B Values.srt |
7.05KB |
| 3. Reading Files from Disk.mp4 |
18.59MB |
| 3. Reading Files from Disk.srt |
4.44KB |
| 3. Tensor Shape and Dimension.mp4 |
114.28MB |
| 3. Tensor Shape and Dimension.srt |
19.05KB |
| 3. Understanding Gradient Descent.mp4 |
126.76MB |
| 3. Understanding Gradient Descent.srt |
19.48KB |
| 4. App Setup.mp4 |
19.27MB |
| 4. App Setup.srt |
3.44KB |
| 4. A Single Instance Approach.mp4 |
103.55MB |
| 4. A Single Instance Approach.srt |
15.32KB |
| 4. Finishing KNN Implementation.mp4 |
50.29MB |
| 4. Finishing KNN Implementation.srt |
8.83KB |
| 4. Flattening Image Data.mp4 |
57.76MB |
| 4. Flattening Image Data.srt |
8.84KB |
| 4. Formulating the Training Loop.mp4 |
27.67MB |
| 4. Formulating the Training Loop.srt |
27.68MB |
| 4. Guessing Coefficients with MSE.mp4 |
93.46MB |
| 4. Guessing Coefficients with MSE.srt |
15.45KB |
| 4. Iterating Over Batches.mp4 |
67.45MB |
| 4. Iterating Over Batches.srt |
12.13KB |
| 4. Maintaining Order Relationships.mp4 |
57.76MB |
| 4. Maintaining Order Relationships.srt |
10.65KB |
| 4. Same Results Or Not.mp4 |
33.83MB |
| 4. Same Results Or Not.srt |
5.43KB |
| 4. Splitting into Columns.mp4 |
20.35MB |
| 4. Splitting into Columns.srt |
14.05MB |
| 4. Tensor Dimension and Shapes.html |
143B |
| 4. The Javascript Garbage Collector.mp4 |
55.80MB |
| 4. The Javascript Garbage Collector.srt |
10.14KB |
| 4. The Sigmoid Equation.mp4 |
45.44MB |
| 4. The Sigmoid Equation.srt |
7.25KB |
| 5. Calculating Model Accuracy.mp4 |
80.36MB |
| 5. Calculating Model Accuracy.srt |
13.26KB |
| 5. Decision Boundaries.mp4 |
79.18MB |
| 5. Decision Boundaries.srt |
11.93KB |
| 5. Dropping Trailing Columns.mp4 |
18.40MB |
| 5. Dropping Trailing Columns.srt |
3.90KB |
| 5. Elementwise Operations.mp4 |
58.36MB |
| 5. Elementwise Operations.srt |
11.92KB |
| 5. Encoding Label Values.mp4 |
62.00MB |
| 5. Encoding Label Values.srt |
8.47KB |
| 5. Evaluating Batch Gradient Descent Results.mp4 |
66.23MB |
| 5. Evaluating Batch Gradient Descent Results.srt |
9.10KB |
| 5. Initial Gradient Descent Implementation.mp4 |
87.92MB |
| 5. Initial Gradient Descent Implementation.srt |
14.22KB |
| 5. Observations Around MSE.mp4 |
56.11MB |
| 5. Observations Around MSE.srt |
9.29KB |
| 5. Problem Outline.mp4 |
31.22MB |
| 5. Problem Outline.srt |
4.88KB |
| 5. Refactoring to Multi-Column Weights.mp4 |
48.49MB |
| 5. Refactoring to Multi-Column Weights.srt |
7.66KB |
| 5. Shallow vs Retained Memory Usage.mp4 |
56.89MB |
| 5. Shallow vs Retained Memory Usage.srt |
9.10KB |
| 5. Sorting Tensors.mp4 |
62.85MB |
| 5. Sorting Tensors.srt |
12.11KB |
| 5. Testing the Algorithm.mp4 |
44.97MB |
| 5. Testing the Algorithm.srt |
7.10KB |
| 6. A Problem to Test Multinominal Classification.mp4 |
48.45MB |
| 6. A Problem to Test Multinominal Classification.srt |
7.17KB |
| 6. Averaging Top Values.mp4 |
58.14MB |
| 6. Averaging Top Values.srt |
27.74MB |
| 6. Broadcasting Operations.mp4 |
62.06MB |
| 6. Broadcasting Operations.srt |
2.04MB |
| 6. Calculating MSE Slopes.mp4 |
67.13MB |
| 6. Calculating MSE Slopes.srt |
9.65KB |
| 6. Changes for Logistic Regression.mp4 |
12.49MB |
| 6. Changes for Logistic Regression.srt |
1.97KB |
| 6. Derivatives!.mp4 |
77.95MB |
| 6. Derivatives!.srt |
10.92KB |
| 6. Identifying Relevant Data.mp4 |
33.91MB |
| 6. Identifying Relevant Data.srt |
6.68KB |
| 6. Implementing an Accuracy Gauge.mp4 |
79.94MB |
| 6. Implementing an Accuracy Gauge.srt |
11.44KB |
| 6. Implementing Coefficient of Determination.mp4 |
75.78MB |
| 6. Implementing Coefficient of Determination.srt |
11.73KB |
| 6. Interpreting Bad Results.mp4 |
40.75MB |
| 6. Interpreting Bad Results.srt |
6.49KB |
| 6. Making Predictions with the Model.mp4 |
79.49MB |
| 6. Making Predictions with the Model.srt |
79.51MB |
| 6. Measuring Memory Usage.mp4 |
96.63MB |
| 6. Measuring Memory Usage.srt |
13.82KB |
| 6. Parsing Number Values.mp4 |
31.36MB |
| 6. Parsing Number Values.srt |
5.46KB |
| 7. Broadcasting Elementwise Operations.html |
143B |
| 7. Classifying Continuous Values.mp4 |
44.55MB |
| 7. Classifying Continuous Values.srt |
7.02KB |
| 7. Custom Value Parsing.mp4 |
36.72MB |
| 7. Custom Value Parsing.srt |
6.51KB |
| 7. Dataset Structures.mp4 |
48.24MB |
| 7. Dataset Structures.srt |
9.22KB |
| 7. Dealing with Bad Accuracy.mp4 |
71.41MB |
| 7. Dealing with Bad Accuracy.srt |
11.89KB |
| 7. Gradient Descent in Action.mp4 |
115.36MB |
| 7. Gradient Descent in Action.srt |
18.41KB |
| 7. Moving to the Editor.mp4 |
34.34MB |
| 7. Moving to the Editor.srt |
34.34MB |
| 7. Project Setup for Logistic Regression.mp4 |
59.40MB |
| 7. Project Setup for Logistic Regression.srt |
9.25KB |
| 7. Releasing References.mp4 |
35.98MB |
| 7. Releasing References.srt |
4.98KB |
| 7. Test and Training Data.mp4 |
45.21MB |
| 7. Test and Training Data.srt |
6.09KB |
| 7. Unchanging Accuracy.mp4 |
20.30MB |
| 7. Unchanging Accuracy.srt |
3.25KB |
| 7. Updating Coefficients.mp4 |
33.86MB |
| 7. Updating Coefficients.srt |
5.02KB |
| 8.1 regressions.zip.zip |
34.30KB |
| 8. Debugging the Calculation Process.mp4 |
89.04MB |
| 8. Debugging the Calculation Process.srt |
13.01KB |
| 8. Extracting Data Columns.mp4 |
57.27MB |
| 8. Extracting Data Columns.srt |
7.75KB |
| 8. Interpreting Results.mp4 |
101.71MB |
| 8. Interpreting Results.srt |
15.47KB |
| 8. Loading CSV Data.mp4 |
89.33MB |
| 8. Loading CSV Data.srt |
15.07KB |
| 8. Logging Tensor Data.mp4 |
26.01MB |
| 8. Logging Tensor Data.srt |
6.24KB |
| 8. Measuring Footprint Reduction.mp4 |
43.31MB |
| 8. Measuring Footprint Reduction.srt |
6.23KB |
| 8. Project Download.html |
215B |
| 8. Quick Breather and Review.mp4 |
65.79MB |
| 8. Quick Breather and Review.srt |
9.19KB |
| 8. Randomizing Test Data.mp4 |
36.00MB |
| 8. Randomizing Test Data.srt |
5.68KB |
| 8. Recording Observation Data.mp4 |
32.75MB |
| 8. Recording Observation Data.srt |
6.06KB |
| 8. Reminder on Standardization.mp4 |
44.49MB |
| 8. Reminder on Standardization.srt |
6.97KB |
| 8. Training a Multinominal Model.mp4 |
66.08MB |
| 8. Training a Multinominal Model.srt |
9.84KB |
| 9. Data Processing in a Helper Method.mp4 |
37.17MB |
| 9. Data Processing in a Helper Method.srt |
5.58KB |
| 9. Dealing with Zero Variances.mp4 |
47.90MB |
| 9. Dealing with Zero Variances.srt |
10.01KB |
| 9. Generalizing KNN.mp4 |
39.00MB |
| 9. Generalizing KNN.srt |
5.63KB |
| 9. Importing Vehicle Data.mp4 |
38.95MB |
| 9. Importing Vehicle Data.srt |
6.67KB |
| 9. Marginal vs Conditional Probability.mp4 |
95.18MB |
| 9. Marginal vs Conditional Probability.srt |
16.03KB |
| 9. Matrix Multiplication.mp4 |
67.47MB |
| 9. Matrix Multiplication.srt |
67.48MB |
| 9. Optimization Tensorflow Memory Usage.mp4 |
18.53MB |
| 9. Optimization Tensorflow Memory Usage.srt |
2.68KB |
| 9. Running an Analysis.mp4 |
52.50MB |
| 9. Running an Analysis.srt |
9.33KB |
| 9. Shuffling Data via Seed Phrase.mp4 |
52.14MB |
| 9. Shuffling Data via Seed Phrase.srt |
52.15MB |
| 9. Tensor Accessors.mp4 |
30.46MB |
| 9. Tensor Accessors.srt |
8.55KB |
| 9. What Type of Problem.mp4 |
47.03MB |
| 9. What Type of Problem.srt |
7.63KB |
| 9. Why a Learning Rate.mp4 |
187.28MB |
| 9. Why a Learning Rate.srt |
25.99KB |