MockQuestions

Machine Learning Mock Interview

To help you prepare for your Machine Learning interview, here are 20 interview questions and answer examples.

Machine Learning was written by and updated on January 18th, 2021. Learn more here.

Question 1 of 20

Can you talk about how precision and recall are used in the work you do?

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List of 20 Machine Learning Interview Questions & Answers

  1. 1.

    Can you talk about how precision and recall are used in the work you do?

  2. 2.

    What is the difference between K-Nearest Neighbors and k-means clustering?

  3. 3.

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

  4. 4.

    What experience do you have performing research in the field of machine learning?

  5. 5.

    In your opinion, what is the most valuable data applicable to our business?

  6. 6.

    What steps would you use to create and implement a data-based decision-making system for our company's users?

  7. 7.

    Can you briefly discuss the trade-offs between bias and variance?

  8. 8.

    Can you discuss the difference between supervised and unsupervised machine learning and when each one is used?

  9. 9.

    Please discuss how a ROC curve works.

  10. 10.

    Can you define Bayes' Theorem and discuss how it is useful in the context of machine learning?

  11. 11.

    Bayes' Theorem is often described as 'Naive.' Why is Bayes naive?

  12. 12.

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

  13. 13.

    Do you have a "˜go-to' algorithm, and can you describe it to me?

  14. 14.

    What's the difference between the concepts of probability and likelihood?

  15. 15.

    Please define a Fourier transform and discuss how it is used?

  16. 16.

    Can you talk about deep learning and how it compares to other machine learning algorithms?

  17. 17.

    Please discuss the differences between generative and discriminative models?

  18. 18.

    What are the most recent publications, papers or articles you have read about machine learning topics?

  19. 19.

    Can you list some machine learning use cases which interest you?

  20. 20.

    What is the purpose of pruning a decision tree?