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Old 09-26-2020, 02:34 PM
samuel samuel is offline
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Default For noisy targets, are we still trying to learn the deterministic f(x)?

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?
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Old 10-09-2020, 01:43 PM
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magdon magdon is offline
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Default Re: For noisy targets, are we still trying to learn the deterministic f(x)?

You are still trying to learn f(x), even when there is noise. The case where you are trying to learn P(y|x) is when you are doing logistic regression.
Have faith in probability
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linear regression, noisy target, target distribution, target function

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