Instruction: Define regularization and discuss its role in machine learning models.
Context: This question assesses the candidate's understanding of techniques used to prevent overfitting by penalizing complex models.
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The way I'd explain it in an interview is this: The way I usually explain regularization is that it gives the model a reason not to become unnecessarily complicated. During training, a model will often keep fitting more detail if you let it, including...