Lectures related to Covariance: Statistical Dependence

Covers bases, linear dependencies, injective and surjective transformations, and matrix representation in linear algebra.

Covers linear independence, bases of vectors, and solving systems using matrices.

Explores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.

Explores subspaces in linear algebra and transformations, including kernels and images of linear transformations.

Covers the QR factorization method applied to solving a system of linear equations in the least squares sense.