this post was submitted on 25 Nov 2023
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Machine Learning

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[–] KoalaNumber3@alien.top 1 points 9 months ago (1 children)

What a lot of people don’t understand is that linear regression can still handle non-linear relationships.

For a statistician, linear regression just means the coefficients are linear, it doesn’t mean the relationship itself is a straight line.

That’s why linear models are still incredibly powerful and are used so widely across so many fields.

[–] Appropriate_Ant_4629@alien.top 1 points 9 months ago

Yet still limited compared to even not-very-deep NNs. If the user wants to fit a parabola with a linear regression, he pretty much has to manually add a quadratic term himself.

I think they're widely used primarily because they're widely taught in school.