[Enginerrrd]

I've always had way too much math under my belt which helps a lot and have taught myself a lot of genuine computer science out of personal interest. I actually did Andrew Ng's Coursera machine learning class all the way through as a first introduction to that field before realizing it wasn't so mysterious and was just the application of a lot of math I already knew, then ran through a bunch of tensor flow tutorials when that first came out and the like. Then just experimented on my own. I have a knack for data though.

Formally from school, I've only had 3 semesters of scientific programming in Fortran and a shitload of math. That and years and years of building models and massaging data in Excel.

Mostly I'm just really used to learning a new API/tool and applying it to new things.

A lot of the ML stuff hasn't been fancy ML, just basic things but applied in really clever and novel ways.