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Describe overfitting and L1/L2 regularization

AmazonApplied Scientist · Technical Screen
EasyApplied ScientistTechnical ScreenMachine Learning

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This question evaluates understanding of model generalization and regularization techniques by probing knowledge of overfitting and L1/L2 regularization and their effects on model parameters.

Define overfitting in machine learning and explain why it is harmful.

Then describe L1 and L2 regularization:

  • How each one modifies the loss function.
  • The qualitative effect of each (e.g., sparsity, weight shrinkage).
  • How they help mitigate overfitting and when you might prefer one over the other.