Coursera Machine Learning by Andrew Ng 10 Advice for Applying Machine Learning Week 10 Regularization and Bias Variance 11 min mp4

Coursera Machine Learning by Andrew Ng
10 Advice for Applying Machine Learning Week 10 Regularization and Bias Variance 11 min mp4

Name	[Coursera] Machine Learning by Andrew Ng	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.6 GB
Total Files	185
Last Seen	2025-04-14 23:28
Hash	48D1F81A7493A4B5440B09796F76B89EE160419F

/10. Advice for Applying Machine Learning (Week 6)/10 - 5 - Regularization and Bias-Variance (11 min).mp4	13.2 MB
/10. Advice for Applying Machine Learning (Week 6)/10 - 4 - Diagnosing Bias vs. Variance (8 min).mp4	9.4 MB
/10. Advice for Applying Machine Learning (Week 6)/10 - 2 - Evaluating a Hypothesis (8 min).mp4	8.9 MB
/10. Advice for Applying Machine Learning (Week 6)/10 - 6 - Learning Curves (12 min).mp4	13.5 MB
/10. Advice for Applying Machine Learning (Week 6)/10 - 3 - Model Selection and Train-Validation-Test Sets (12 min).mp4	14.8 MB
/10. Advice for Applying Machine Learning (Week 6)/10 - 1 - Deciding What to Try Next (6 min).mp4	7.2 MB
/10. Advice for Applying Machine Learning (Week 6)/10 - 7 - Deciding What to Do Next Revisited (7 min).mp4	8.6 MB
/10. Advice for Applying Machine Learning (Week 6)/docs-slides-Lecture10.pdf	1.6 MB
/10. Advice for Applying Machine Learning (Week 6)/docs-slides-Lecture10.pptx	3.5 MB
/17. Large Scale Machine Learning (Week 10)/17 - 5 - Online Learning (13 min).mp4	15.6 MB
/17. Large Scale Machine Learning (Week 10)/17 - 6 - Map Reduce and Data Parallelism (14 min).mp4	16.8 MB
/17. Large Scale Machine Learning (Week 10)/17 - 1 - Learning With Large Datasets (6 min).mp4	6.8 MB
/17. Large Scale Machine Learning (Week 10)/17 - 2 - Stochastic Gradient Descent (13 min).mp4	16.1 MB
/17. Large Scale Machine Learning (Week 10)/17 - 3 - Mini-Batch Gradient Descent (6 min).mp4	7.7 MB
/17. Large Scale Machine Learning (Week 10)/17 - 4 - Stochastic Gradient Descent Convergence (12 min).mp4	14.0 MB
Showing first 15 files of 185 total files