I agree, but it's also nice to have a toolbox of actually tractable algorithms. Principled practical data science should approach the theoretical ideal (i.e. p(

I agree, but it's also nice to have a toolbox of actually tractable algorithms. Principled practical data science should approach the theoretical ideal (i.e. p(unknown|theta)), but often has to use some approximations that we actually know how to implement efficiently.