Comment on Nothing is requiring employees to be in the office five days a week
Saledovil@sh.itjust.works 2 months agoThat said, it’s misleading and inaccurate to state that neural networks are just statistics. In fact they are substantially more than just advanced statistics. Certainly statistics is a component—but so too is probability, calculus, network/graph theory, linear algebra, not to mention computer science to program, tune, and train and infer them. Information theory (hello, entropy) plays a part sometimes.
What I meant when I said that they are advanced statistics is that that is what they do. I know that a lot of disciplines play a part in creating them. I know it’s incredible complicated, it took me quite a while to wrap my head around what the back-propagation algorithm.
I also know that neural networks can do some really cool stuff. Recognizing tumors, for example. But it’s equally dangerous to overestimate them, so we have to be aware of their limitations.
model_tar_gz@lemmy.world 2 months ago
Cool cool, we’re cool. I get a little triggered when I hear people say that NN/DL models are “fancy statistics”—it’s not the first time.
In what seems like another lifetime ago, my first engineering job was as a process engineer for an industrial-scale continuous chromatography unit in hydrocarbon refining. Fuck that industry, but there’s some really cool tech there nevertheless. Anyway when I was first learning the process, the technician I was learning from called it a series of “fancy filters” and that triggered me too—adsorption is a really fascinating chemical process that uses a lot of math and physics to finely-tune for desired purity, flowrate, etc. and to diminish it as “fancy filtration”!!!
He wasn’t wrong, you’re not either; but it’s definitely more nuanced than that. :)
Engineers are gonna nerd out about stuff. It’s a natural law, I think.