QUESTION 10 OF 20

Please discuss the purpose of regularization and explain the difference between L2 and L1 regularization.

Another technical question asking you to discuss the differences between two terms or concepts used in the field of machine learning. As the interview progresses, so you'll continue to be asked technical questions. However, their complexity will continue to increase. This indicates that the interviewer is gaining confidence in your abilities and is willing to explore more difficult areas to understand the depth of your expertise.

"The purpose of regularization is to spread error amongst all the component data. The difference between L2 and L1 one regularization is that L2 spreads the error among all of the components, while L1 is more binary and tends to assign either a one or zero weighting to each term."

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Machine Learning Mock Interview

Please discuss the purpose of regularization and explain the difference between L2 and L1 regularization.

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20 Machine Learning Interview Questions & Answers