1.2.11. Week 11 - 4/6

Reading:

• 5. Singular Value Decomposition (SVD)

• 5.1 The Geometry of the SVD

• 5.2 How SVD Changes Vectors

• 5.3 Rank from the SVD

• 5.4 Condition Number

• 5.5 Fundamental Matrix Subspaces

• 5.6 Dimensionality Reduction

Video Lectures:

• Section 5.1 - SVD Introduction and Geometry

• Section 5.2 - How SVD Changes Vectors

• Section 5.3 - Rank from the SVD

• Section 5.4 - Condition Number

• Section 5.5 - Fundamental Matrix Subspaces

• Section 5.6 - Dimensionality Reduction