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Principal Component Analysis and Singular Value Decomposition - Spring 2023
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- 1 Recording starts
- 2 Lecture starts
- 3 Announcements
- 4 Recap
- 5 Multicolinearity
- 6 Principal Component Analysis PCA
- 7 Dimensionality reduction intro
- 8 Adjusting notation
- 9 Projection
- 10 Vector basis
- 11 Dimensionality reduction SSE goal
- 12 Singular Value Decomposition SVD
- 13 SVD optimizes SSE
- 14 Rank k-approximation
- 15 Demo
- 16 Lecture ends
