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Name:	[FreeCourseLab com] Udemy Machine Learning with Javascript
Usenet:	Downloads Anonymously to Unlimited data Access! Get Usenet Free Trial
Hash:	501BC57122D38DA6DB13C5A741531DE660E471FC
Category:	Other
Peers:	Seeds: 9 & Leechers: 17
Size:	10.2 GB
Stream:	Watch Full HD Movies @ LimeMovies
Date:	3 February 2019

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Torrent Files Size: 10.2 GB
[FreeCourseLab.com] Udemy - Machine Learning with Javascript 1. What is Machine Learning 1. Getting Started - How to Get Help.mp4 - 8.35 MB 1. Getting Started - How to Get Help.vtt - 1.55 KB 2. Solving Machine Learning Problems.mp4 - 62.77 MB 2. Solving Machine Learning Problems.vtt - 8.19 KB 3. A Complete Walkthrough.mp4 - 109.13 MB 3. A Complete Walkthrough.vtt - 13.34 KB 4. App Setup.mp4 - 19.27 MB 4. App Setup.vtt - 3.03 KB 5. Problem Outline.mp4 - 31.21 MB 5. Problem Outline.vtt - 4.31 KB 6. Identifying Relevant Data.mp4 - 33.91 MB 6. Identifying Relevant Data.vtt - 5.88 KB 7. Dataset Structures.mp4 - 48.25 MB 7. Dataset Structures.vtt - 8.12 KB 8. Recording Observation Data.mp4 - 32.74 MB 8. Recording Observation Data.vtt - 5.34 KB 9. What Type of Problem.mp4 - 47.03 MB 9. What Type of Problem.vtt - 6.74 KB 10. Natural Binary Classification 1. Introducing Logistic Regression.mp4 - 23.45 MB 1. Introducing Logistic Regression.vtt - 3.45 KB 10. Encoding Label Values.mp4 - 48.58 MB 10. Encoding Label Values.vtt - 6.03 KB 11. Updating Linear Regression for Logistic Regression.mp4 - 70.3 MB 11. Updating Linear Regression for Logistic Regression.vtt - 9.8 KB 12. The Sigmoid Equation with Logistic Regression.mp4 - 32.78 MB 12. The Sigmoid Equation with Logistic Regression.vtt - 5.99 KB 13. A Touch More Refactoring.mp4 - 87.42 MB 13. A Touch More Refactoring.vtt - 10.38 KB 14. Gauging Classification Accuracy.mp4 - 36.7 MB 14. Gauging Classification Accuracy.vtt - 4.81 KB 15. Implementing a Test Function.mp4 - 54.71 MB 15. Implementing a Test Function.vtt - 7.46 KB 16. Variable Decision Boundaries.mp4 - 68.32 MB 16. Variable Decision Boundaries.vtt - 10.06 KB 17. Mean Squared Error vs Cross Entropy.mp4 - 60.2 MB 17. Mean Squared Error vs Cross Entropy.vtt - 7.86 KB 18. Refactoring with Cross Entropy.mp4 - 49.45 MB 18. Refactoring with Cross Entropy.vtt - 7.18 KB 19. Finishing the Cost Refactor.mp4 - 49.09 MB 19. Finishing the Cost Refactor.vtt - 5.96 KB 2. Logistic Regression in Action.mp4 - 61.07 MB 2. Logistic Regression in Action.vtt - 9.49 KB 20. Plotting Changing Cost History.mp4 - 42.95 MB 20. Plotting Changing Cost History.vtt - 4.95 KB 3. Bad Equation Fits.mp4 - 55.4 MB 3. Bad Equation Fits.vtt - 7.62 KB 4. The Sigmoid Equation.mp4 - 45.44 MB 4. The Sigmoid Equation.vtt - 6.42 KB 5. Decision Boundaries.mp4 - 79.18 MB 5. Decision Boundaries.vtt - 10.56 KB 6. Changes for Logistic Regression.mp4 - 12.49 MB 6. Changes for Logistic Regression.vtt - 1.76 KB 7. Project Setup for Logistic Regression.mp4 - 59.4 MB 7. Project Setup for Logistic Regression.vtt - 8.14 KB 8. Project Download.html - 215 bytes 8.1 regressions.zip.zip - 34.3 KB 9. Importing Vehicle Data.mp4 - 38.95 MB 9. Importing Vehicle Data.vtt - 5.85 KB 11. Multi-Value Classification 1. Multinominal Logistic Regression.mp4 - 25 MB 1. Multinominal Logistic Regression.vtt - 3.16 KB 10. Sigmoid vs Softmax.mp4 - 62.75 MB 10. Sigmoid vs Softmax.vtt - 8.64 KB 11. Refactoring Sigmoid to Softmax.mp4 - 48.87 MB 11. Refactoring Sigmoid to Softmax.vtt - 6.5 KB 12. Implementing Accuracy Gauges.mp4 - 28.71 MB 12. Implementing Accuracy Gauges.vtt - 3.76 KB 13. Calculating Accuracy.mp4 - 31.3 MB 13. Calculating Accuracy.vtt - 4.46 KB 2. A Smart Refactor to Multinominal Analysis.mp4 - 49.97 MB 2. A Smart Refactor to Multinominal Analysis.vtt - 7.26 KB 3. A Smarter Refactor!.mp4 - 38.29 MB 3. A Smarter Refactor!.vtt - 5.24 KB 4. A Single Instance Approach.mp4 - 103.56 MB 4. A Single Instance Approach.vtt - 13.46 KB 5. Refactoring to Multi-Column Weights.mp4 - 48.49 MB 5. Refactoring to Multi-Column Weights.vtt - 6.69 KB 6. A Problem to Test Multinominal Classification.mp4 - 48.45 MB 6. A Problem to Test Multinominal Classification.vtt - 6.33 KB 7. Classifying Continuous Values.mp4 - 44.55 MB 7. Classifying Continuous Values.vtt - 6.18 KB 8. Training a Multinominal Model.mp4 - 66.09 MB 8. Training a Multinominal Model.vtt - 8.62 KB 9. Marginal vs Conditional Probability.mp4 - 95.18 MB 9. Marginal vs Conditional Probability.vtt - 14.02 KB 12. Image Recognition In Action 1. Handwriting Recognition.mp4 - 24.69 MB 1. Handwriting Recognition.vtt - 3.15 KB 10. Backfilling Variance.mp4 - 25.72 MB 10. Backfilling Variance.vtt - 3.57 KB 2. Greyscale Values.mp4 - 55.35 MB 2. Greyscale Values.vtt - 7.02 KB 3. Many Features.mp4 - 44.76 MB 3. Many Features.vtt - 4.74 KB 4. Flattening Image Data.mp4 - 57.76 MB 4. Flattening Image Data.vtt - 7.8 KB 5. Encoding Label Values.mp4 - 62 MB 5. Encoding Label Values.vtt - 7.42 KB 6. Implementing an Accuracy Gauge.mp4 - 79.94 MB 6. Implementing an Accuracy Gauge.vtt - 10.01 KB 7. Unchanging Accuracy.mp4 - 20.3 MB 7. Unchanging Accuracy.vtt - 2.89 KB 8. Debugging the Calculation Process.mp4 - 89.05 MB 8. Debugging the Calculation Process.vtt - 11.31 KB 9. Dealing with Zero Variances.mp4 - 47.9 MB 9. Dealing with Zero Variances.vtt - 8.78 KB 13. Performance Optimization 1. Handing Large Datasets.mp4 - 44.46 MB 1. Handing Large Datasets.vtt - 6.17 KB 10. Tensorflow's Eager Memory Usage.mp4 - 46.81 MB 10. Tensorflow's Eager Memory Usage.vtt - 6.14 KB 11. Cleaning up Tensors with Tidy.mp4 - 24.26 MB 11. Cleaning up Tensors with Tidy.vtt - 3.86 KB 12. Implementing TF Tidy.mp4 - 37.6 MB 12. Implementing TF Tidy.vtt - 4.77 KB 13. Tidying the Training Loop.mp4 - 45.99 MB 13. Tidying the Training Loop.vtt - 5.48 KB 14. Measuring Reduced Memory Usage.mp4 - 18.11 MB 14. Measuring Reduced Memory Usage.vtt - 2.19 KB 15. One More Optimization.mp4 - 27.5 MB 15. One More Optimization.vtt - 3.31 KB 16. Final Memory Report.mp4 - 36.25 MB 16. Final Memory Report.vtt - 3.93 KB 17. Plotting Cost History.mp4 - 47.6 MB 17. Plotting Cost History.vtt - 5.77 KB 18. NaN in Cost History.mp4 - 46.38 MB 18. NaN in Cost History.vtt - 6.02 KB 19. Fixing Cost History.mp4 - 46.77 MB 19. Fixing Cost History.vtt - 6.3 KB 2. Minimizing Memory Usage.mp4 - 38.19 MB 2. Minimizing Memory Usage.vtt - 6.6 KB 20. Massaging Learning Parameters.mp4 - 22.55 MB 20. Massaging Learning Parameters.vtt - 2.44 KB 21. Improving Model Accuracy.mp4 - 55.02 MB 21. Improving Model Accuracy.vtt - 5.93 KB 3. Creating Memory Snapshots.mp4 - 49.06 MB 3. Creating Memory Snapshots.vtt - 7.16 KB 4. The Javascript Garbage Collector.mp4 - 55.8 MB 4. The Javascript Garbage Collector.vtt - 8.95 KB 5. Shallow vs Retained Memory Usage.mp4 - 56.89 MB 5. Shallow vs Retained Memory Usage.vtt - 8.05 KB 6. Measuring Memory Usage.mp4 - 96.63 MB 6. Measuring Memory Usage.vtt - 12.01 KB 7. Releasing References.mp4 - 35.98 MB 7. Releasing References.vtt - 4.36 KB 8. Measuring Footprint Reduction.mp4 - 43.31 MB 8. Measuring Footprint Reduction.vtt - 5.46 KB 9. Optimization Tensorflow Memory Usage.mp4 - 18.54 MB 9. Optimization Tensorflow Memory Usage.vtt - 2.35 KB 14. Appendix Custom CSV Loader 1. Loading CSV Files.mp4 - 15.86 MB 1. Loading CSV Files.vtt - 2.98 KB 10. Splitting Test and Training.mp4 - 75.65 MB 10. Splitting Test and Training.vtt - 10.45 KB

Torrent Files

Size: 10.2 GB

[FreeCourseLab.com] Udemy - Machine Learning with Javascript

1. What is Machine Learning

1. Getting Started - How to Get Help.mp4 -

8.35 MB

1. Getting Started - How to Get Help.vtt -

1.55 KB

2. Solving Machine Learning Problems.mp4 -

62.77 MB

2. Solving Machine Learning Problems.vtt -

8.19 KB

3. A Complete Walkthrough.mp4 -

109.13 MB

3. A Complete Walkthrough.vtt -

13.34 KB

4. App Setup.mp4 -

19.27 MB

4. App Setup.vtt -

3.03 KB

5. Problem Outline.mp4 -

31.21 MB

5. Problem Outline.vtt -

4.31 KB

6. Identifying Relevant Data.mp4 -

33.91 MB

6. Identifying Relevant Data.vtt -

5.88 KB

7. Dataset Structures.mp4 -

48.25 MB

7. Dataset Structures.vtt -

8.12 KB

8. Recording Observation Data.mp4 -

32.74 MB

8. Recording Observation Data.vtt -

5.34 KB

9. What Type of Problem.mp4 -

47.03 MB

9. What Type of Problem.vtt -

6.74 KB

10. Natural Binary Classification

1. Introducing Logistic Regression.mp4 -

23.45 MB

1. Introducing Logistic Regression.vtt -

3.45 KB

10. Encoding Label Values.mp4 -

48.58 MB

10. Encoding Label Values.vtt -

6.03 KB

11. Updating Linear Regression for Logistic Regression.mp4 -

70.3 MB

11. Updating Linear Regression for Logistic Regression.vtt -

9.8 KB

12. The Sigmoid Equation with Logistic Regression.mp4 -

32.78 MB

12. The Sigmoid Equation with Logistic Regression.vtt -

5.99 KB

13. A Touch More Refactoring.mp4 -

87.42 MB

13. A Touch More Refactoring.vtt -

10.38 KB

14. Gauging Classification Accuracy.mp4 -

36.7 MB

14. Gauging Classification Accuracy.vtt -

4.81 KB

15. Implementing a Test Function.mp4 -

54.71 MB

15. Implementing a Test Function.vtt -

7.46 KB

16. Variable Decision Boundaries.mp4 -

68.32 MB

16. Variable Decision Boundaries.vtt -

10.06 KB

17. Mean Squared Error vs Cross Entropy.mp4 -

60.2 MB

17. Mean Squared Error vs Cross Entropy.vtt -

7.86 KB

18. Refactoring with Cross Entropy.mp4 -

49.45 MB

18. Refactoring with Cross Entropy.vtt -

7.18 KB

19. Finishing the Cost Refactor.mp4 -

49.09 MB

19. Finishing the Cost Refactor.vtt -

5.96 KB

2. Logistic Regression in Action.mp4 -

61.07 MB

2. Logistic Regression in Action.vtt -

9.49 KB

20. Plotting Changing Cost History.mp4 -

42.95 MB

20. Plotting Changing Cost History.vtt -

4.95 KB

3. Bad Equation Fits.mp4 -

55.4 MB

3. Bad Equation Fits.vtt -

7.62 KB

4. The Sigmoid Equation.mp4 -

45.44 MB

4. The Sigmoid Equation.vtt -

6.42 KB

5. Decision Boundaries.mp4 -

79.18 MB

5. Decision Boundaries.vtt -

10.56 KB

6. Changes for Logistic Regression.mp4 -

12.49 MB

6. Changes for Logistic Regression.vtt -

1.76 KB

7. Project Setup for Logistic Regression.mp4 -

59.4 MB

7. Project Setup for Logistic Regression.vtt -

8.14 KB

8. Project Download.html -

215 bytes

8.1 regressions.zip.zip -

34.3 KB

9. Importing Vehicle Data.mp4 -

38.95 MB

9. Importing Vehicle Data.vtt -

5.85 KB

11. Multi-Value Classification

1. Multinominal Logistic Regression.mp4 -

25 MB

1. Multinominal Logistic Regression.vtt -

3.16 KB

10. Sigmoid vs Softmax.mp4 -

62.75 MB

10. Sigmoid vs Softmax.vtt -

8.64 KB

11. Refactoring Sigmoid to Softmax.mp4 -

48.87 MB

11. Refactoring Sigmoid to Softmax.vtt -

6.5 KB

12. Implementing Accuracy Gauges.mp4 -

28.71 MB

12. Implementing Accuracy Gauges.vtt -

3.76 KB

13. Calculating Accuracy.mp4 -

31.3 MB

13. Calculating Accuracy.vtt -

4.46 KB

2. A Smart Refactor to Multinominal Analysis.mp4 -

49.97 MB

2. A Smart Refactor to Multinominal Analysis.vtt -

7.26 KB

3. A Smarter Refactor!.mp4 -

38.29 MB

3. A Smarter Refactor!.vtt -

5.24 KB

4. A Single Instance Approach.mp4 -

103.56 MB

4. A Single Instance Approach.vtt -

13.46 KB

5. Refactoring to Multi-Column Weights.mp4 -

48.49 MB

5. Refactoring to Multi-Column Weights.vtt -

6.69 KB

6. A Problem to Test Multinominal Classification.mp4 -

48.45 MB

6. A Problem to Test Multinominal Classification.vtt -

6.33 KB

7. Classifying Continuous Values.mp4 -

44.55 MB

7. Classifying Continuous Values.vtt -

6.18 KB

8. Training a Multinominal Model.mp4 -

66.09 MB

8. Training a Multinominal Model.vtt -

8.62 KB

9. Marginal vs Conditional Probability.mp4 -

95.18 MB

9. Marginal vs Conditional Probability.vtt -

14.02 KB

12. Image Recognition In Action

1. Handwriting Recognition.mp4 -

24.69 MB

1. Handwriting Recognition.vtt -

3.15 KB

10. Backfilling Variance.mp4 -

25.72 MB

10. Backfilling Variance.vtt -

3.57 KB

2. Greyscale Values.mp4 -

55.35 MB

2. Greyscale Values.vtt -

7.02 KB

3. Many Features.mp4 -

44.76 MB

3. Many Features.vtt -

4.74 KB

4. Flattening Image Data.mp4 -

57.76 MB

4. Flattening Image Data.vtt -

7.8 KB

5. Encoding Label Values.mp4 -

62 MB

5. Encoding Label Values.vtt -

7.42 KB

6. Implementing an Accuracy Gauge.mp4 -

79.94 MB

6. Implementing an Accuracy Gauge.vtt -

10.01 KB

7. Unchanging Accuracy.mp4 -

20.3 MB

7. Unchanging Accuracy.vtt -

2.89 KB

8. Debugging the Calculation Process.mp4 -

89.05 MB

8. Debugging the Calculation Process.vtt -

11.31 KB

9. Dealing with Zero Variances.mp4 -

47.9 MB

9. Dealing with Zero Variances.vtt -

8.78 KB

13. Performance Optimization

1. Handing Large Datasets.mp4 -

44.46 MB

1. Handing Large Datasets.vtt -

6.17 KB

10. Tensorflow's Eager Memory Usage.mp4 -

46.81 MB

10. Tensorflow's Eager Memory Usage.vtt -

6.14 KB

11. Cleaning up Tensors with Tidy.mp4 -

24.26 MB

11. Cleaning up Tensors with Tidy.vtt -

3.86 KB

12. Implementing TF Tidy.mp4 -

37.6 MB

12. Implementing TF Tidy.vtt -

4.77 KB

13. Tidying the Training Loop.mp4 -

45.99 MB

13. Tidying the Training Loop.vtt -

5.48 KB

14. Measuring Reduced Memory Usage.mp4 -

18.11 MB

14. Measuring Reduced Memory Usage.vtt -

2.19 KB

15. One More Optimization.mp4 -

27.5 MB

15. One More Optimization.vtt -

3.31 KB

16. Final Memory Report.mp4 -

36.25 MB

16. Final Memory Report.vtt -

3.93 KB

17. Plotting Cost History.mp4 -

47.6 MB

17. Plotting Cost History.vtt -

5.77 KB

18. NaN in Cost History.mp4 -

46.38 MB

18. NaN in Cost History.vtt -

6.02 KB

19. Fixing Cost History.mp4 -

46.77 MB

19. Fixing Cost History.vtt -

6.3 KB

2. Minimizing Memory Usage.mp4 -

38.19 MB

2. Minimizing Memory Usage.vtt -

6.6 KB

20. Massaging Learning Parameters.mp4 -

22.55 MB

20. Massaging Learning Parameters.vtt -

2.44 KB

21. Improving Model Accuracy.mp4 -

55.02 MB

21. Improving Model Accuracy.vtt -

5.93 KB

3. Creating Memory Snapshots.mp4 -

49.06 MB

3. Creating Memory Snapshots.vtt -

7.16 KB

4. The Javascript Garbage Collector.mp4 -

55.8 MB

4. The Javascript Garbage Collector.vtt -

8.95 KB

5. Shallow vs Retained Memory Usage.mp4 -

56.89 MB

5. Shallow vs Retained Memory Usage.vtt -

8.05 KB

6. Measuring Memory Usage.mp4 -

96.63 MB

6. Measuring Memory Usage.vtt -

12.01 KB

7. Releasing References.mp4 -

35.98 MB

7. Releasing References.vtt -

4.36 KB

8. Measuring Footprint Reduction.mp4 -

43.31 MB

8. Measuring Footprint Reduction.vtt -

5.46 KB

9. Optimization Tensorflow Memory Usage.mp4 -

18.54 MB

9. Optimization Tensorflow Memory Usage.vtt -

2.35 KB

14. Appendix Custom CSV Loader

1. Loading CSV Files.mp4 -

15.86 MB

1. Loading CSV Files.vtt -

2.98 KB

10. Splitting Test and Training.mp4 -

75.65 MB

10. Splitting Test and Training.vtt -

10.45 KB

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