3 ms·
In a very loose sense, even plain linear regression is a form of lossy compression in the form of an orthogonal projection.
by nerdponx 3y ago
In a very loose sense, even plain linear regression is a form of lossy compression in the form of an orthogonal projection.
- tysam_and 3y agoOh, I appreciate this point, thanks for making it! I like it a lot. <3 :)))) I think, perhaps, if inputs > outputs and there is some dimensionality reduction (though I think orthogonality would be a trait of an ideal system [i.e. an emergent property approached in the limit], not one that is explicitly enforced each step).