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Can you discuss the main differences between Lasso and Ridge regression models, and how would you select which one to use for a given problem?

Machine Learning Engineer

Microsoft

Amazon

Flexport

Visa

Okta

Agoda

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Answers

Anonymous

3.6Strong
Lasso regression uses an L1 norm on it's regularization term, thus allowing the model to set weights to zero if necessary. Ridge regression on the other hand uses the L2 norm, preventing the model from completely zero'ing out a feature. Ridge regression is preferred when all features are important, and LASSO is preferred if  you are not sure if all features are applicable to the result.
  • Can you discuss the main differences between Lasso and Ridge regression models, and how would you select which one to use for a given problem?
  • When faced with a regression problem, how do you decide whether to apply the LASSO or Ridge regularization technique?
  • What are some key factors you consider when choosing between Lasso and Ridge regression?
  • Would you mind walking me through how you choose between Lasso and Ridge regression models for a particular problem?
  • How would you approach selecting between Ridge and Lasso regression when presented with a regression problem?
  • In what circumstances would you apply Ridge or Lasso regression, and how would you determine which to use?
  • When deciding between Lasso and Ridge regression models, what factors do you take into consideration?
  • Can you explain the difference between Lasso and Ridge regularization, and how do you determine which to apply in a given situation?
  • Could you discuss the criteria you use when choosing between Ridge and Lasso regression for a specific problem?
  • What are some practical considerations you take into account when selecting between Lasso and Ridge regression models?
  • How would you choose between Lasso and Ridge regression for a particular problem?
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Interview question asked to Machine Learning Engineers interviewing at Visa, Blizzard, Okta and others: Can you discuss the main differences between Lasso and Ridge regression models, and how would you select which one to use for a given problem?.