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Bayesian Network is a model that allows for probabilities of all events to be connected to each other and we could easily make decisions on the finally possible probabilities of something going to happen based on the information we already had. It been a very popular model for the last few decade due to its transparency in the nodes connectivity.
In this video I try to go through the basic of BN, how to make them in R and how have other research have been using them for the last few years.
Slides
docs.google.com/presentation/...
Github Page
github.com/brandonyph/LiquidB...
Email: liquidbrain.r@gmail.com
Website: www.liquidbrain.org/videos
Patreon: / liquidbrain