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0 pointsyessql9y ago0 comments

ML courses often start with linear regression, and if you build up complicated polynomials to find a nonintuitive model of your problem, I would definitely consider that machine learning.

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3 comments · 1 top-level

sidlls9y ago· 2 in thread

I wouldn't. I'd call it "basic computational statistics." But I think I might be in the minority on that.

Bartweiss9y ago

I've always thought of regressions, even high-order ones, as just a statistical tool. They're present at the start of ML courses, sure, but as a tool used in ML techniques or a good alternative to them.

It looks like that's not the standard view, though.

LolWolf9y ago

The whole deal seems weird to me.

Neural networks are just functional approximators, so why isn't a linear regressor of k-th order (e.g. Taylor expansion up to k-th order) also considered "ML"? What's the distinction here?

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