Machine Learning Mock Interview

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

Question 13 of 20

Can you explain the difference between Type I and Type II errors?

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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.

This is a very basic technical question which most machine learning professionals and anyone who has taken a class in statistics can answer. The type of technical questions you will be asked during an interview will range from very simple to very difficult. This depends on the interview stage, the position for which you are interviewing, and the hiring manager's knowledge. Regardless of the question's complexity, your answer should still be brief and to the point, and you should anticipate follow-up questions.

William Swansen

"Type I errors indicate a false positive, while Type II errors indicate a false negative. Another way to understand this is that a Type I error will say something has happened even though it hasn't, while a Type II error is just the opposite."

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