d446: 41 Essential Machine Learning Interview Questions and answers

Machine Learning Interview Questions and Answers: https://www.springboard.com/blog/machine-learning-interview-questions

  • What’s the trade-off between bias and variance?
  • What is the difference between supervised and unsupervised machine learning?
  • How is KNN different from k-means clustering?
  • Explain how a ROC curve works.
  • Define precision and recall
  • What is Bayes’ Theorem? How is it useful in a machine learning context?
  • Why is “Naive” Bayes naive?
  • Explain the difference between L1 and L2 regularization
  • What’s your favorite algorithm, and can you explain it to me in less than a minute?
  • What’s the difference between Type I and Type II error?
  • What’s a Fourier transform?

    More and answershttps://www.springboard.com/blog/machine-learning-interview-questions