Yeah, and it uses the same analogy for understanding belief propagation as Pearl himself uses, and a reference to Pearl, and a bit more discussion of Bayes nets as a good way to understand things. But, I think, a lot of people didn’t derive the directive “Learn Bayes nets!” from that example of insight derived from Bayes nets (and would benefit from going and doing that).
I do think there are some other intuitions lurking in Bayes net algorithms which could benefit from a similar write-up to Fake Causality, but which went “all the way” in terms of describing Bayes nets, rather than partially summarizing.
Yeah, and it uses the same analogy for understanding belief propagation as Pearl himself uses, and a reference to Pearl, and a bit more discussion of Bayes nets as a good way to understand things. But, I think, a lot of people didn’t derive the directive “Learn Bayes nets!” from that example of insight derived from Bayes nets (and would benefit from going and doing that).
I do think there are some other intuitions lurking in Bayes net algorithms which could benefit from a similar write-up to Fake Causality, but which went “all the way” in terms of describing Bayes nets, rather than partially summarizing.