FAU Lecture Notes in Pattern Recognition
How do I compute probabilities for things that I cannot observe?
A Short Introduction to Bayes’ Theorem
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 review a couple of basics that are important for the remainder of this class. We will look into simple classification, supervised unsupervised learning, and also review a little bit of probability theory. So this is a kind of refresher. In case you are not that strong anymore with probability theory, you will find the examples that we have in this video very instructive.
