Instruction: Provide definitions for both and discuss their advantages and limitations.
Context: This question seeks to evaluate the candidate's knowledge of different model types and their suitability for various machine learning tasks.
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The way I'd explain it in an interview is this: A parametric model assumes a fixed functional form with a finite set of parameters, regardless of how much data you have. Linear regression and logistic regression are classic examples. A non-parametric model is...