FAU Lecture Notes in Pattern Recognition
A Simple Introduction to Support Vector Machines
The Concepts of SVMs
These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition”. This is a full transcript of the lecture video & matching slides. The sources for the slides are available here. We hope, you enjoy this as much as the videos. This transcript was almost entirely machine generated using AutoBlog and only minor manual modifications were performed. If you spot mistakes, please let us know!
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Welcome back to Pattern Recognition. Today we want to start talking about support vector machines. Support vector machines are a very powerful classification technique that is built on top of convex optimization. So you will see that it essentially builds on top of everything that we’ve seen so far in this class. We will see that we can solve some of the problems much more elegantly using the tricks that we will show you in the next couple of videos.
