Theory ≤ SVM < Implementation
Sometimes I find opportunities to perform theoretical presentations. Final one was on Support Vector Machines to young engineers in Turkcell Technology. SVM is not just one of the machine learning algorithms with strong theoretical settlement but also trying to understand SVM, let us play with various theoretical stuff like linear algebra, optimization theory, topology, etc. to build up a machine learner.
Keep in mind that this presentation is just a very brief introduction to SVM. Implementation details require a separate presentation. So the name of my presentation is theory ≤ SVM < implementation. I hope you enjoy it.