OLA interview Question | Regularization

Question

Explain what regularization is and why it is useful?

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Dhruv2301 55 years 1 Answer 976 views Great Grand Master 0

Answer ( 1 )

  1. In simple terms, regularization is about introducing a little bias in your model,
    so that it generalizes well over the test data. In Linear Regression, regularization
    tries to shrink the coefficients towards zero. It discourages learning a more complex
    model to avoid over-fitting.

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