Lectures related to Least Squares Solutions

Introduces orthogonal families, orthonormal bases, and projections in linear algebra.

Explores the complexity of matrix computations, focusing on solving least squares problems and the impact of noise on numerical stability.

Explores Singular Value Decomposition, matrix solutions, and least squares regression in data analysis.

Explores linear models, least squares, Gaussian vectors, and model selection methods.

Covers the Moore-Penrose pseudoinverse and its properties for arbitrary matrices.

Explores least squares in linear regression, hypothesis testing, outliers, and model assumptions.