Support Vector Machines: Theory and Optimization

This lecture covers the theory and optimization of Support Vector Machines (SVM). It explains the Mercer's Theorem for valid kernels, the concept of Kernel matrix, and the mathematical formulation of SVM. The instructor discusses the hyperplane equation, the role of normal vectors, and the Lagrange Duality in SVM optimization.