Lectures related to Linear Algebra Review: Convex Optimization

Linear Systems: Diagonal and Triangular Matrices, LU Factorization

Covers linear systems, diagonal and triangular matrices, and LU factorization.

Singular Values and Norms: Understanding Linear Maps with SVD

Explores singular value decomposition and its role in understanding linear maps.

SVD: Singular Value Decomposition

Covers the concept of Singular Value Decomposition (SVD) for compressing information in matrices and images.

Characterization of Invertible Matrices

Explores the properties of invertible matrices, including unique solutions and linear independence.

Mathematics of Data: Optimization Basics

Covers optimization basics, including metrics, norms, convexity, gradients, and logistic regression, with a focus on strong convexity and convergence rates.