Coursera Machine Learning by Andrew Ng 15 Anomaly Detection Week 15 Developing and Evaluating an Anomaly Detection System 13 min mp4

Coursera Machine Learning by Andrew Ng
15 Anomaly Detection Week 15 Developing and Evaluating an Anomaly Detection System 13 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	2025-04-22 23:30
Hash	48D1F81A7493A4B5440B09796F76B89EE160419F

/15. Anomaly Detection (Week 9)/15 - 4 - Developing and Evaluating an Anomaly Detection System (13 min).mp4	15.9 MB
/15. Anomaly Detection (Week 9)/15 - 6 - Choosing What Features to Use (12 min).mp4	14.8 MB
/15. Anomaly Detection (Week 9)/15 - 7 - Multivariate Gaussian Distribution (Optional) (14 min).mp4	16.7 MB
/15. Anomaly Detection (Week 9)/15 - 2 - Gaussian Distribution (10 min).mp4	12.3 MB
/15. Anomaly Detection (Week 9)/15 - 1 - Problem Motivation (8 min).mp4	8.8 MB
/15. Anomaly Detection (Week 9)/15 - 5 - Anomaly Detection vs. Supervised Learning (8 min).mp4	9.7 MB
/15. Anomaly Detection (Week 9)/15 - 3 - Algorithm (12 min).mp4	14.6 MB
/15. Anomaly Detection (Week 9)/15 - 8 - Anomaly Detection using the Multivariate Gaussian Distribution (Optional) (14 min).mp4	17.1 MB
/14. Dimensionality Reduction (Week 8)/14 - 4 - Principal Component Analysis Algorithm (15 min).mp4	18.7 MB
/05. Octave Tutorial (Week 2)/5 - 7 - Working on and Submitting Programming Exercises (4 min).mp4	5.7 MB
/13. Clustering (Week 8)/13 - 1 - Unsupervised Learning- Introduction (3 min).mp4	4.0 MB
/14. Dimensionality Reduction (Week 8)/14 - 1 - Motivation I- Data Compression (10 min).mp4	15.0 MB
/14. Dimensionality Reduction (Week 8)/14 - 5 - Choosing the Number of Principal Components (11 min).mp4	12.4 MB
/14. Dimensionality Reduction (Week 8)/14 - 2 - Motivation II- Visualization (6 min).mp4	6.6 MB
/05. Octave Tutorial (Week 2)/5 - 2 - Moving Data Around (16 min).mp4	21.8 MB
Showing first 15 files of 185 total files