UDEMY.Unsupervised.Machine.Learning.ARABIC.BOOKWARE-iLEARN
File List
- 7. Principle Component Analysis (PCA).mp4 422.0 MB
- 3. Linear Algebra - part 1.mp4 366.5 MB
- 4. Linear Algebra - part 2.mp4 354.9 MB
- 21. DBSCAN l theory.mp4 290.3 MB
- 13. Anomaly Detection - part 2.mp4 284.5 MB
- 2. Intro to Unsupervised ML مقدمة لتعلم الآلة بدون إشراف.mp4 283.2 MB
- 12. Anomaly Detection - part 1.mp4 257.3 MB
- 15. K-Means theory.mp4 240.5 MB
- 8. Singular Value Decomposition (SVD).mp4 232.4 MB
- 6. Dimensionality Reduction Approaches.mp4 209.1 MB
- 16. K-Means practice.mp4 192.0 MB
- 23. Hierarchical Clustering l theory.mp4 191.0 MB
- 25. GMM theory.mp4 188.0 MB
- 26. GMM l Example.mp4 172.6 MB
- 5. Linear Algebra - part 3.mp4 143.2 MB
- 17. K-Means for Image Segmentation.mp4 115.4 MB
- 14. Intro to Clustering.mp4 112.6 MB
- 22. DBSCAN l practice.mp4 103.2 MB
- 19. K-Means for Semi-Supervised Learning.mp4 90.5 MB
- 11. Manifold (nonlinear) Learning.mp4 86.2 MB
- 18. K-Means for Preprocessing.mp4 75.1 MB
- 24. Hierarchical Clustering l practice.mp4 49.9 MB
- 9. Must be watched after SVD.mp4 42.4 MB
- 10. Random Projection.mp4 37.7 MB
- 27. GMM practice.mp4 36.9 MB
- 20. Limits of K-Means.mp4 28.0 MB
- 1. Introduction to Course.mp4 14.3 MB
- ilearn-uml.sfv 2.4 KB
- ilearn.nfo 181 bytes
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