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Reducible and Irreducible Error

The Y = f(X) + e framing, why some error can never be removed, and the difference between fitting for prediction and fitting for inference.

FoundationsModule 320 min · 100 XP
The error bar descending onto a noise floor of 0.25 and stopping dead there, however far the fit is improved.

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