From ML class, what kind of math is this?

Are you just going to slink away now that your low effort trolling has exposed your ignorance?

Filthy undergrad.

Using libraries is a good thing and a lucky part of being programmers as well. It's nice to be able to actually see results and get some tangible motivation to dive deeper into the theorems.

>In statistics you study distributions to understand the structure and properties of them.
>I'm the ignorant one

quite true my man. i completely agree. you're getting me motivated again to learn ML.

Pray tell undergrad-kun, what do you do in "real" non-interpretive statistics?

Are you too pajeet to understand the validity of my generalization? It's okay, I understand.

Quantify uncertainty.

Very discrete
Much wow

You're thinking more of probability than statistics, which in either way is not the same as ML which I pointed out the difference for you.

It's funny how much bullshit people throw at ML who know nothing about it except whispers made by nervous outdated professors worried about their own funding.

Also fuck you. You shit on my perfectly reasonable definition of the problem of statistics and then you respond with the ***most*** undergrad-ass definition possible.