Note

CS Degree Day 80

CS Degree in 100 Days

28 Aug'25

What I did today?

Lecture 9: Singular Value Decomposition - geometric interpretation
Lecture 10: Applications of SVD - least squares, pseudoinverse, PCA
Problem set: Least squares regression

SVD is the apex of linear algebra. Every matrix has an SVD. It reveals the geometry of the transformation in terms of rotations and scalings.

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