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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
F24BBF2CD33037E48DDD16632B1178A5F19B7AB4
Source
Unverified
Total Size
10.68 GB
Total Files
100
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
0. Websites you may like/[CourseClub.ME].url122 B
0. Websites you may like/[FCS Forum].url133 B
0. Websites you may like/[FreeCourseSite.com].url127 B
1. What is Machine Learning/1. Getting Started - How to Get Help.mp48.36 MB
1. What is Machine Learning/1. Getting Started - How to Get Help.srt1.73 KB
1. What is Machine Learning/2. Solving Machine Learning Problems.mp462.77 MB
1. What is Machine Learning/2. Solving Machine Learning Problems.srt9.25 KB
1. What is Machine Learning/3. A Complete Walkthrough.mp4109.13 MB
1. What is Machine Learning/3. A Complete Walkthrough.srt15.18 KB
1. What is Machine Learning/4. App Setup.mp419.27 MB
1. What is Machine Learning/4. App Setup.srt3.44 KB
1. What is Machine Learning/5. Problem Outline.mp431.22 MB
1. What is Machine Learning/5. Problem Outline.srt4.88 KB
1. What is Machine Learning/6. Identifying Relevant Data.mp433.91 MB
1. What is Machine Learning/6. Identifying Relevant Data.srt6.68 KB
1. What is Machine Learning/7. Dataset Structures.mp448.24 MB
1. What is Machine Learning/7. Dataset Structures.srt9.22 KB
1. What is Machine Learning/8. Recording Observation Data.mp432.75 MB
1. What is Machine Learning/8. Recording Observation Data.srt6.06 KB
1. What is Machine Learning/9. What Type of Problem.mp447.03 MB
1. What is Machine Learning/9. What Type of Problem.srt7.63 KB
10. Natural Binary Classification/1. Introducing Logistic Regression.mp423.44 MB
10. Natural Binary Classification/1. Introducing Logistic Regression.srt3.91 KB
10. Natural Binary Classification/10. Encoding Label Values.mp448.58 MB
10. Natural Binary Classification/10. Encoding Label Values.srt6.88 KB
10. Natural Binary Classification/11. Updating Linear Regression for Logistic Regression.mp470.29 MB
10. Natural Binary Classification/11. Updating Linear Regression for Logistic Regression.srt11.09 KB
10. Natural Binary Classification/12. The Sigmoid Equation with Logistic Regression.mp432.77 MB
10. Natural Binary Classification/12. The Sigmoid Equation with Logistic Regression.srt6.78 KB
10. Natural Binary Classification/13. A Touch More Refactoring.mp487.42 MB
10. Natural Binary Classification/13. A Touch More Refactoring.srt11.82 KB
10. Natural Binary Classification/14. Gauging Classification Accuracy.mp436.7 MB
10. Natural Binary Classification/14. Gauging Classification Accuracy.srt5.42 KB
10. Natural Binary Classification/15. Implementing a Test Function.mp454.71 MB
10. Natural Binary Classification/15. Implementing a Test Function.srt8.56 KB
10. Natural Binary Classification/16. Variable Decision Boundaries.mp468.31 MB
10. Natural Binary Classification/16. Variable Decision Boundaries.srt11.4 KB
10. Natural Binary Classification/17. Mean Squared Error vs Cross Entropy.mp460.2 MB
10. Natural Binary Classification/17. Mean Squared Error vs Cross Entropy.srt8.89 KB
10. Natural Binary Classification/18. Refactoring with Cross Entropy.mp449.45 MB
10. Natural Binary Classification/18. Refactoring with Cross Entropy.srt8.17 KB
10. Natural Binary Classification/19. Finishing the Cost Refactor.mp449.09 MB
10. Natural Binary Classification/19. Finishing the Cost Refactor.srt6.86 KB
10. Natural Binary Classification/2. Logistic Regression in Action.mp461.07 MB
10. Natural Binary Classification/2. Logistic Regression in Action.srt10.85 KB
10. Natural Binary Classification/20. Plotting Changing Cost History.mp442.95 MB
10. Natural Binary Classification/20. Plotting Changing Cost History.srt5.68 KB
10. Natural Binary Classification/3. Bad Equation Fits.mp455.39 MB
10. Natural Binary Classification/3. Bad Equation Fits.srt8.64 KB
10. Natural Binary Classification/4. The Sigmoid Equation.mp445.44 MB
10. Natural Binary Classification/4. The Sigmoid Equation.srt7.25 KB
10. Natural Binary Classification/5. Decision Boundaries.mp479.18 MB
10. Natural Binary Classification/5. Decision Boundaries.srt11.93 KB
10. Natural Binary Classification/6. Changes for Logistic Regression.mp412.49 MB
10. Natural Binary Classification/6. Changes for Logistic Regression.srt1.97 KB
10. Natural Binary Classification/7. Project Setup for Logistic Regression.mp459.4 MB
10. Natural Binary Classification/7. Project Setup for Logistic Regression.srt9.25 KB
10. Natural Binary Classification/8. Project Download.html215 B
10. Natural Binary Classification/8.1 regressions.zip.zip34.3 KB
10. Natural Binary Classification/9. Importing Vehicle Data.mp438.95 MB
10. Natural Binary Classification/9. Importing Vehicle Data.srt6.67 KB
11. Multi-Value Classification/1. Multinominal Logistic Regression.mp425 MB
11. Multi-Value Classification/1. Multinominal Logistic Regression.srt3.6 KB
11. Multi-Value Classification/10. Sigmoid vs Softmax.mp462.75 MB
11. Multi-Value Classification/10. Sigmoid vs Softmax.srt9.83 KB
11. Multi-Value Classification/11. Refactoring Sigmoid to Softmax.mp448.87 MB
11. Multi-Value Classification/11. Refactoring Sigmoid to Softmax.srt7.51 KB
11. Multi-Value Classification/12. Implementing Accuracy Gauges.mp428.71 MB
11. Multi-Value Classification/12. Implementing Accuracy Gauges.srt4.27 KB
11. Multi-Value Classification/13. Calculating Accuracy.mp431.3 MB
11. Multi-Value Classification/13. Calculating Accuracy.srt5.11 KB
11. Multi-Value Classification/2. A Smart Refactor to Multinominal Analysis.mp449.97 MB
11. Multi-Value Classification/2. A Smart Refactor to Multinominal Analysis.srt8.24 KB
11. Multi-Value Classification/3. A Smarter Refactor!.mp438.29 MB
11. Multi-Value Classification/3. A Smarter Refactor!.srt5.92 KB
11. Multi-Value Classification/4. A Single Instance Approach.mp4103.55 MB
11. Multi-Value Classification/4. A Single Instance Approach.srt15.32 KB
11. Multi-Value Classification/5. Refactoring to Multi-Column Weights.mp448.49 MB
11. Multi-Value Classification/5. Refactoring to Multi-Column Weights.srt7.66 KB
11. Multi-Value Classification/6. A Problem to Test Multinominal Classification.mp448.45 MB
11. Multi-Value Classification/6. A Problem to Test Multinominal Classification.srt7.17 KB
11. Multi-Value Classification/7. Classifying Continuous Values.mp444.55 MB
11. Multi-Value Classification/7. Classifying Continuous Values.srt7.02 KB
11. Multi-Value Classification/8. Training a Multinominal Model.mp466.08 MB
11. Multi-Value Classification/8. Training a Multinominal Model.srt9.84 KB
11. Multi-Value Classification/9. Marginal vs Conditional Probability.mp495.18 MB
11. Multi-Value Classification/9. Marginal vs Conditional Probability.srt16.03 KB
12. Image Recognition In Action/1. Handwriting Recognition.mp424.69 MB
12. Image Recognition In Action/1. Handwriting Recognition.srt3.57 KB
12. Image Recognition In Action/10. Backfilling Variance.mp425.72 MB
12. Image Recognition In Action/10. Backfilling Variance.srt4.1 KB
12. Image Recognition In Action/2. Greyscale Values.mp455.34 MB
12. Image Recognition In Action/2. Greyscale Values.srt7.95 KB
12. Image Recognition In Action/3. Many Features.mp444.76 MB
12. Image Recognition In Action/3. Many Features.srt5.34 KB
12. Image Recognition In Action/4. Flattening Image Data.mp457.76 MB
12. Image Recognition In Action/4. Flattening Image Data.srt8.84 KB
12. Image Recognition In Action/5. Encoding Label Values.mp462 MB
12. Image Recognition In Action/5. Encoding Label Values.srt8.47 KB
12. Image Recognition In Action/6. Implementing an Accuracy Gauge.mp479.94 MB

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