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TORRENT DETAILS

[FreeCourseLab.com] Udemy - Machine Learning With Javascript

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	501bc57122d38da6db13c5a741531de660e471fc
Size:	10.2 GB in 99 files
Release Date(s):	Torrent Release: 25-01-2019 by user
Swarm:	0 Seeds & 1 Peers
Vote:	No votes yet.

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

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FILE LIST

Filename		Size
	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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