[khalilravanna]

(Related but kind of off-topic)

I’m a software engineer (non-ML) currently working at big tech company that does ML and has a fair amount of open roles in ML and I’ve wondered is ML the sort of thing you could jump into a team and learn on the job? Or do you really need to take some courses, read some books, or even get a degree?

I got a CS/Math bachelors but it’s been nigh on a decade and my higher level math is rusty. Curious on people’s thoughts here.

[leaflets2]

If it's neutral networks: I think to some extent you can self study and learn on the job, yes. You can learn how to construct and use neutral networks, and tweak and improve the structure and results, without understanding the maths underneath.

You'd need to (self) study & learn how to train a network, eg course or book or articles?

Hmm isn't that was this HN post is about :-) the course: https://courses.dibya.online/p/fastdeeprl, 4 hours it says, self study

I think often the most challenging part isn't the ML, but to gather training data and clean and prepare it so the ML has sth to learn from