Lectures related to Kernel Methods: Representer Theorem & ERM

Covers linear equations, vectors, and matrices, exploring their fundamental concepts and applications.

Covers direct methods for solving linear systems in numerical analysis.

Covers the definition and properties of determinants, including the rule of Sarrus for 3x3 matrices.

Covers non-negative definite matrices, covariance matrices, and Principal Component Analysis for optimal dimension reduction.

Covers LU factorization, determinants, subspaces, and matrix products.