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i believe linear regression algorithm can be used for noisy targets, yet it appears to be estimating f(x), I guess the mean of y given X, so how is that helping us to learn P(y|X)?
I believe the professor said that for noisy targets we aim to learn P(y|X) as our target function. Did i misunderstand? |
Tags |
linear regression, noisy target, target distribution, target function |
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