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Re:Machine Learning Crash Course: The Bias-Variance Dilemma by xapata on Wednesday July 26, 2017 @03:35AM (#14854275)
Ultimately, everything is a probabilistic model. It'd be ridiculously impractical to try to incorporate all of one's knowledge into an analytic model. Instead, we generalize as appropriate and encapsulate the rest as a random variable, sometimes called "error". Plus, God plays dice and all that.

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