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Pick some unrelated lectures, they said.
(sh.itjust.works)
It will widen your horizon, they said. And here I was, foolishly thinking I could get away with half-assing statistics during my degree.
Whatever course you do in STEM, you don't want to half-ass the first semester of calculus, linear algebra and statistics.
In fact, you probably want to go out of your way to actually learn linear algebra (because I've never seen anybody really learn it on the course, you need to apply it) and statistics (because you want to go deeper).
Linear algebra, absolutely. But I kind of hoped to get through my whole degree (mostly EE) without properly knowing statistics. Hah. First I take an elective Intro AI class, and then BioInf. I guess I hate myself.
Oh you can get through most degrees without properly learning linear algebra or statistics.
But those 3 are the knowledge that will pop here and there on everything you do, and leave you confused, incapable of understand things, and incapable of extending things if you don't know them. Usually, you won't even have to calculate anything, you just have to know them.
Well you need a good handle on probability to understand transistors these days at least.
EE wizards are also the keepers of information theory, which is all just probability, and is pretty much the definition science of our modern era.
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mask label : STEM
face label : Maths
People here saying this shit is useless are fucking wack, I use this shit frequently in my job. Basic affine transforms for grid data is an interview question we ask junior engineers.