Decision Surfaces. Support Vector Machines

This lecture overviews Decision Surfaces and, in particular, Support Vector Machines that have many applications in Machine Learning and Pattern Recognition. It covers the following topics in detail: Decision surfaces. Hyperplanes. Non-linear Decision Surfaces. Quadratic (2nd degree polynomial) surfaces, Hyperellipsoid/Hyperparaboloid.  Support Vector Machines, Margin Maximization, Lagrangian Primal/Dual Problem, Kernel SVM.