Coursera Machine Learning by Andrew Ng 16 Recommender Systems Week 16 Collaborative Filtering Algorithm min mp4

Coursera Machine Learning by Andrew Ng
16 Recommender Systems Week 16 Collaborative Filtering Algorithm 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

/16. Recommender Systems (Week 9)/16 - 4 - Collaborative Filtering Algorithm (9 min).mp4	10.8 MB
/16. Recommender Systems (Week 9)/16 - 3 - Collaborative Filtering (10 min).mp4	12.3 MB
/16. Recommender Systems (Week 9)/16 - 1 - Problem Formulation (8 min).mp4	11.2 MB
/16. Recommender Systems (Week 9)/16 - 2 - Content Based Recommendations (15 min).mp4	17.8 MB
/16. Recommender Systems (Week 9)/16 - 6 - Implementational Detail- Mean Normalization (9 min).mp4	10.2 MB
/16. Recommender Systems (Week 9)/16 - 5 - Vectorization- Low Rank Matrix Factorization (8 min).mp4	10.2 MB
/13. Clustering (Week 8)/13 - 2 - K-Means Algorithm (13 min).mp4	14.5 MB
/15. Anomaly Detection (Week 9)/15 - 3 - Algorithm (12 min).mp4	14.6 MB
/15. Anomaly Detection (Week 9)/15 - 1 - Problem Motivation (8 min).mp4	8.8 MB
/15. Anomaly Detection (Week 9)/15 - 2 - Gaussian Distribution (10 min).mp4	12.3 MB
/07. Regularization (Week 3)/7 - 4 - Regularized Logistic Regression (9 min).mp4	11.4 MB
/09. Neural Networks Learning (Week 5)/9 - 2 - Backpropagation Algorithm (12 min).mp4	14.6 MB
/13. Clustering (Week 8)/13 - 5 - Choosing the Number of Clusters (8 min).mp4	9.9 MB
/15. Anomaly Detection (Week 9)/15 - 6 - Choosing What Features to Use (12 min).mp4	14.8 MB
/16. Recommender Systems (Week 9)/docs-slides-Lecture16.pdf	1.5 MB
Showing first 15 files of 185 total files