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For questions related to supervised learning.

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Is the noise term $\epsilon$ in $y=g(x) + \epsilon$ used to denote the model's imperfection ...

In supervised machine learning, it is common to say that we learn a function of the form $$y=g(x) + \epsilon.$$ Generally, $\epsilon$ is used to denote noise or, more precisely, any influence by laten …
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