Lectures related to Half-space (geometry)

Delves into the theory and optimization of Support Vector Machines, including Mercer's Theorem and Lagrange Duality.

Covers the concept of convex functions and their applications in optimization problems.

Explores differentiable functions, gradients, and tangent planes in two-variable functions.

Covers the Support Vector Machine with a hard margin formulation and the importance of maximizing the margin between classes.