FAU Lecture Notes in Pattern Recognition

What do Gaussians, Poisson and Binomial Probability Mass Function have in common?

The Exponential Family of Probability Density and Mass Functions

Andreas Maier
CodeX
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7 min readMar 11, 2021

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Image under CC BY 4.0 from the Pattern Recognition Lecture

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 look a little more into the modeling of decision boundaries. In particular, we are interested in what is happening with other distributions. We are also interested in what is happening if we have equal dispersion or standard deviations in different distributions.

Image under CC BY 4.0 from the Pattern Recognition Lecture

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Andreas Maier
CodeX
Writer for

I do research in Machine Learning. My positions include being Prof @FAU_Germany, President @DataDonors, and Board Member for Science & Technology @TimeMachineEU