Machine Learning Mock Interview

Practice 20 Machine Learning interview questions covering algorithms, model evaluation, and deep learning fundamentals.

Question 10 of 20

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

How to Answer
Example Answer
Community Answers

William Swansen has worked in the employment assistance realm since 2007. He is an author, job search strategist, and career advisor who helps individuals worldwide and in various professions to find their ideal careers.

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.

William Swansen

"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."

Write Your Answer

0 - Character Count

Unlock All 20 Machine Learning Questions

Unlock expert responses to technical questions that separate ML candidates from data scientists.

Get Started

Previous Question Next Question