11–20 of 165 posts
I use it as something to worry about not knowing how to use, and how that might make me unemployable in a few years, while also having no obvious need for it at all, and therefore no easy avenue towards learning it, especially since it requires math skills which have completely rusted over because I also never need those, so I'd have to start like 2 levels down the ladder to work my way back up to it. I've found it v…
I didn't develop the original approach but am involved in working to improve the predictive outcomes.
-Financials analysis / predictions
-Image classification
I use it as something to worry about not knowing how to use, and how that might make me unemployable in a few years, while also having no obvious need for it at all, and therefore no easy avenue towards learning it, especially since it requires math skills which have completely rusted over because I also never need those, so I'd have to start like 2 levels down the ladder to work my way back up to it. I've found it v…
I find it frustratingly hard to learn ML on my own, when I don't have a real problem to solve, just exercises.
I use it as something to worry about not knowing how to use, and how that might make me unemployable in a few years, while also having no obvious need for it at all, and therefore no easy avenue towards learning it, especially since it requires math skills which have completely rusted over because I also never need those, so I'd have to start like 2 levels down the ladder to work my way back up to it. I've found it v…
I saw a quote around here like "Data has gravity; the computation will move to it." (I think this was Nadella at Build.) This is true for ML in a way that was not true for previous computer applications (I mean, mainstream applications of computers). You could write an image filter or an audio effect (or a spreadsheet, or a mail client, etc) with no data at all (or a small amount of ad-hoc test data). But this suggests a subversion in the problem-finding process. Instead of thinking about what problems algorithms could solve, you have to look for large corpuses of data. It does feel like a paradigm shift that should engage our self-interest, if nothing else.