Bayesian network is a synonym for directed graphical model.
Any time you see graphical models, they’re usually BNs. Undirected graphical models are very closely related too (all directed models can be represented as undirected models, but not all undirected models can represent directed models), but they’re usually not referred to as BNs.
They’re used all over the place. One school of causal inference is heavily steeped in BNs/DAGs. This shouldn’t be surprising because the creator of BNs, Judea Pearl, is heavily involved in causal inference now.
From the perspective of a tyro, I find it very difficult to catch on the terminology that git uses. There are simply too many concepts to understand and remember. For example, why is rebase so much more complicated while merging two branches seems fairly straightforward. Even after using it for quite some time, I almost always mess it up. In my opinion, git should abstract a lot of details from a regular user to make it more friendly and easier to learn.
> we are working with the US government to secure similar licenses for developers in Crimea and Syria as well
That's also super cool to hear!
Related Thread: https://news.ycombinator.com/item?id=25648585