Lectures related to Orthogonal Projections and Reflections

Covers matrix rank, determinant, and decomposition in linear algebra.

Covers the process of diagonalizing matrices, focusing on symmetric matrices and the spectral theorem.

Covers bases, transformations, and matrix decompositions in linear algebra.

Explores latent factor analysis for movie genre classification based on male versus female leads.

Explains Singular Value Decomposition, focusing on orthogonal vectors and matrix decomposition.

Covers the concept of orthogonal projection and its applications in vector analysis.

Explores general conics, motor blocks, and homo coordinates in matrix decomposition and coefficient calculations.

Explores Singular Value Decomposition, low-rank approximation, fundamental subspaces, and matrix norms.