rugatelstvo

By grad level analysis I mean analysis based on Measure Theory. Here's where I got the idea(last comment in the linked thread): https://www.physicsforums.com/threads/what-is-the-most-usefu...

I am under the impression that to learn statistics one must first have a working knowledge of probability theory which rests upon grad level math analysis. Can machine learning be studied without any of that?

It also helps to have a passport that lets you do that.

But it also creates a community of enforcers of trivial rules who never contribute anything outside that. Good example of that is mathstackexchange. There are users on there whose sole existence on that site is to remove "thank-you"s from the questions.

Also my favorites Verbose(Java has nothing on it) and Intolerant("A language that wipes the user's hard drive if an error occurs").

Why not? It's much more interesting than yet another anything.js or any new Python-like Pythonish Pythonica.