I have been working with networks now for a long time (maybe since 2008?), and after many projects and thousands of hours spent on studying and working with networks, I’ve recently started looking into subjects that make use of graph theory in an attempt to take what I know about graph theory and see if I can build some complementary skills in other areas. So when I started taking a Bayesian Networks (Graphical Probability) course, I was pleasantly surprised at how interesting and how much can be transferred over in terms of basic concepts.

The truth is however, the term networks in Bayesian [...]