1. What do you know about Autoencoders?
  2. Please explain the concept of a Boltzmann Machine.
  3. What do you understand by linear regression?
  4. What do you understand by logistic regression?
  5. What is a confusion matrix?
  6. What is the difference between supervised and unsupervised machine learning?
  7. What is bias, variance trade off ?
  8. What is exploding gradients ?
  9. What is a confusion matrix ?
  10. Explain how a ROC curve works ?
  11. What is selection Bias ?
  12. Explain Decision Tree algorithm in detail.
  13. What is Ensemble Learning ?
  14. What is a Box Cox Transformation?
  15. What is deep learning?
  16. What are Recommender Systems?
  17. What is the difference between Regression and classification ML techniques?

TOP MNC DATA SCIENCE INTERVIEW QUESTIONS