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[FreeCourseLab.com] Udemy - Machine Learning with Javascript

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10.2 GB

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0

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0

Files

99

Category

Other

Added

01/25/19 at 9:44am GMT+1

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Verified by VeriPLUS

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501bc57122d38da6db13c5a741531de660e471fc

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Description

Udemy - Machine Learning with Javascript

Master Machine Learning from scratch using Javascript and TensorflowJS with hands-on projects.

For more Udemy Courses: https://freecourselab.com

File list

[FreeCourseLab.com] Udemy - Machine Learning with Javascript
1. What is Machine Learning/1. Getting Started - How to Get Help.mp4 8.3 MB
1. What is Machine Learning/1. Getting Started - How to Get Help.vtt 1.5 KB
1. What is Machine Learning/2. Solving Machine Learning Problems.mp4 62.8 MB
1. What is Machine Learning/2. Solving Machine Learning Problems.vtt 8.2 KB
1. What is Machine Learning/3. A Complete Walkthrough.mp4 109.1 MB
1. What is Machine Learning/3. A Complete Walkthrough.vtt 13.3 KB
1. What is Machine Learning/4. App Setup.mp4 19.3 MB
1. What is Machine Learning/4. App Setup.vtt 3 KB
1. What is Machine Learning/5. Problem Outline.mp4 31.2 MB
1. What is Machine Learning/5. Problem Outline.vtt 4.3 KB
1. What is Machine Learning/6. Identifying Relevant Data.mp4 33.9 MB
1. What is Machine Learning/6. Identifying Relevant Data.vtt 5.9 KB
1. What is Machine Learning/7. Dataset Structures.mp4 48.2 MB
1. What is Machine Learning/7. Dataset Structures.vtt 8.1 KB
1. What is Machine Learning/8. Recording Observation Data.mp4 32.7 MB
1. What is Machine Learning/8. Recording Observation Data.vtt 5.3 KB
1. What is Machine Learning/9. What Type of Problem.mp4 47 MB
1. What is Machine Learning/9. What Type of Problem.vtt 6.7 KB
10. Natural Binary Classification/1. Introducing Logistic Regression.mp4 23.4 MB
10. Natural Binary Classification/1. Introducing Logistic Regression.vtt 3.5 KB
10. Natural Binary Classification/10. Encoding Label Values.mp4 48.6 MB
10. Natural Binary Classification/10. Encoding Label Values.vtt 6 KB
10. Natural Binary Classification/11. Updating Linear Regression for Logistic Regression.mp4 70.3 MB
10. Natural Binary Classification/11. Updating Linear Regression for Logistic Regression.vtt 9.8 KB
10. Natural Binary Classification/12. The Sigmoid Equation with Logistic Regression.mp4 32.8 MB
10. Natural Binary Classification/12. The Sigmoid Equation with Logistic Regression.vtt 6 KB
10. Natural Binary Classification/13. A Touch More Refactoring.mp4 87.4 MB
10. Natural Binary Classification/13. A Touch More Refactoring.vtt 10.4 KB
10. Natural Binary Classification/14. Gauging Classification Accuracy.mp4 36.7 MB
10. Natural Binary Classification/14. Gauging Classification Accuracy.vtt 4.8 KB
10. Natural Binary Classification/15. Implementing a Test Function.mp4 54.7 MB
10. Natural Binary Classification/15. Implementing a Test Function.vtt 7.5 KB
10. Natural Binary Classification/16. Variable Decision Boundaries.mp4 68.3 MB
10. Natural Binary Classification/16. Variable Decision Boundaries.vtt 10.1 KB
10. Natural Binary Classification/17. Mean Squared Error vs Cross Entropy.mp4 60.2 MB
10. Natural Binary Classification/17. Mean Squared Error vs Cross Entropy.vtt 7.9 KB
10. Natural Binary Classification/18. Refactoring with Cross Entropy.mp4 49.4 MB
10. Natural Binary Classification/18. Refactoring with Cross Entropy.vtt 7.2 KB
10. Natural Binary Classification/19. Finishing the Cost Refactor.mp4 49.1 MB
10. Natural Binary Classification/19. Finishing the Cost Refactor.vtt 6 KB
10. Natural Binary Classification/2. Logistic Regression in Action.mp4 61.1 MB
10. Natural Binary Classification/2. Logistic Regression in Action.vtt 9.5 KB
10. Natural Binary Classification/20. Plotting Changing Cost History.mp4 43 MB
10. Natural Binary Classification/20. Plotting Changing Cost History.vtt 4.9 KB
10. Natural Binary Classification/3. Bad Equation Fits.mp4 55.4 MB
10. Natural Binary Classification/3. Bad Equation Fits.vtt 7.6 KB
10. Natural Binary Classification/4. The Sigmoid Equation.mp4 45.4 MB
10. Natural Binary Classification/4. The Sigmoid Equation.vtt 6.4 KB
10. Natural Binary Classification/5. Decision Boundaries.mp4 79.2 MB
10. Natural Binary Classification/5. Decision Boundaries.vtt 10.6 KB
10. Natural Binary Classification/6. Changes for Logistic Regression.mp4 12.5 MB
10. Natural Binary Classification/6. Changes for Logistic Regression.vtt 1.8 KB
10. Natural Binary Classification/7. Project Setup for Logistic Regression.mp4 59.4 MB
10. Natural Binary Classification/7. Project Setup for Logistic Regression.vtt 8.1 KB
10. Natural Binary Classification/8. Project Download.html 215 B
10. Natural Binary Classification/8.1 regressions.zip.zip 34.3 KB
10. Natural Binary Classification/9. Importing Vehicle Data.mp4 39 MB
10. Natural Binary Classification/9. Importing Vehicle Data.vtt 5.9 KB
11. Multi-Value Classification/1. Multinominal Logistic Regression.mp4 25 MB
11. Multi-Value Classification/1. Multinominal Logistic Regression.vtt 3.2 KB
11. Multi-Value Classification/10. Sigmoid vs Softmax.mp4 62.8 MB
11. Multi-Value Classification/10. Sigmoid vs Softmax.vtt 8.6 KB
11. Multi-Value Classification/11. Refactoring Sigmoid to Softmax.mp4 48.9 MB
11. Multi-Value Classification/11. Refactoring Sigmoid to Softmax.vtt 6.5 KB
11. Multi-Value Classification/12. Implementing Accuracy Gauges.mp4 28.7 MB
11. Multi-Value Classification/12. Implementing Accuracy Gauges.vtt 3.8 KB
11. Multi-Value Classification/13. Calculating Accuracy.mp4 31.3 MB
11. Multi-Value Classification/13. Calculating Accuracy.vtt 4.5 KB
11. Multi-Value Classification/2. A Smart Refactor to Multinominal Analysis.mp4 50 MB
11. Multi-Value Classification/2. A Smart Refactor to Multinominal Analysis.vtt 7.3 KB
11. Multi-Value Classification/3. A Smarter Refactor!.mp4 38.3 MB
11. Multi-Value Classification/3. A Smarter Refactor!.vtt 5.2 KB
11. Multi-Value Classification/4. A Single Instance Approach.mp4 103.6 MB
11. Multi-Value Classification/4. A Single Instance Approach.vtt 13.5 KB
11. Multi-Value Classification/5. Refactoring to Multi-Column Weights.mp4 48.5 MB
11. Multi-Value Classification/5. Refactoring to Multi-Column Weights.vtt 6.7 KB
11. Multi-Value Classification/6. A Problem to Test Multinominal Classification.mp4 48.5 MB
11. Multi-Value Classification/6. A Problem to Test Multinominal Classification.vtt 6.3 KB
11. Multi-Value Classification/7. Classifying Continuous Values.mp4 44.6 MB
11. Multi-Value Classification/7. Classifying Continuous Values.vtt 6.2 KB
11. Multi-Value Classification/8. Training a Multinominal Model.mp4 66.1 MB
11. Multi-Value Classification/8. Training a Multinominal Model.vtt 8.6 KB
11. Multi-Value Classification/9. Marginal vs Conditional Probability.mp4 95.2 MB
11. Multi-Value Classification/9. Marginal vs Conditional Probability.vtt 14 KB
12. Image Recognition In Action/1. Handwriting Recognition.mp4 24.7 MB
12. Image Recognition In Action/1. Handwriting Recognition.vtt 3.2 KB
12. Image Recognition In Action/10. Backfilling Variance.mp4 25.7 MB
12. Image Recognition In Action/10. Backfilling Variance.vtt 3.6 KB
12. Image Recognition In Action/2. Greyscale Values.mp4 55.4 MB
12. Image Recognition In Action/2. Greyscale Values.vtt 7 KB
12. Image Recognition In Action/3. Many Features.mp4 44.8 MB
12. Image Recognition In Action/3. Many Features.vtt 4.7 KB
12. Image Recognition In Action/4. Flattening Image Data.mp4 57.8 MB
12. Image Recognition In Action/4. Flattening Image Data.vtt 7.8 KB
12. Image Recognition In Action/5. Encoding Label Values.mp4 62 MB
12. Image Recognition In Action/5. Encoding Label Values.vtt 7.4 KB
12. Image Recognition In Action/6. Implementing an Accuracy Gauge.mp4 79.9 MB
12. Image Recognition In Action/6. Implementing an Accuracy Gauge.vtt 10 KB
12. Image Recognition In Action/7. Unchanging Accuracy.mp4 20.3 MB

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