list of important Machine Learning Interview Questions

  1. What do you understand by Machine Learning?
  2. Give an example that explains Machine Leaning in industry.
  3. What are the different Algorithm techniques in Machine Learning?
  4. What is the difference between supervised and unsupervised machine learning?
  5. What is the function of Unsupervised Learning?
  6. What is the function of Supervised Learning?
  7. What are the advantages of Naive Bayes?
  8. What are the disadvantages of Naive Bayes?
  9. Why is naive Bayes so naive?
  10. What is Overfitting in Machine Learning?
  11. What are the conditions when Overfitting happens?
  12. How can you avoid overfitting?
  13. What are the five popular algorithms for Machine Learning?
  14. What are the different use cases where machine learning algorithms can be used?
  15. What are parametric models and Non-Parametric models?
  16. What are the three stages to build the hypotheses or model in machine learning?
  17. What is Inductive Logic Programming in Machine Learning (ILP)?
  18. What is the difference between classification and regression?
  19. What are the difference between inductive machine learning and deductive machine learning?
  20. What are the advantages decision trees?
  21. What are the disadvantages of decision trees?
  22. What are the advantages of neural networks?
  23. What are the disadvantages of neural networks?
  24. What is the difference between L1 and L2 regularization?


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