[datastoat]

> Please, please: learn some probability via measure theory. You’ll start reading machine learning papers wondering how people ever express themselves precisely without it. The entire field seems to be predicated around writing things like x ~ p_\theta(x|z=q_\phi(x)) as if that’s somehow meaningful notation.

Hear hear! How did ML get saddled with such awful notation?

[Kwpolska]

How many papers with awful notation are actually the reverse engineering of some (barely) working code, cobbled together from random libraries and coefficients?