29 Common AI & Machine Learning Interview Questions

Here are the most common AI & Machine Learning interview questions:

1. What is your experience with machine learning?
2. How would you use machine learning in your current role? Or, how have you used it in previous roles?
3. What was your favourite type of project to work on? Why?
4. What do you think about the future of AI? Do you think it will change our lives for the better or worse?
5. Do you have any projects that are currently in production that we can check out?
6. What is machine learning?
7. How does machine learning work?
8. What are the main types of machine learning?
9. How can you use machine learning to improve your business?
10. What are some applications of AI and ML in your field?
11. What is the difference between AI and machine learning?
12. What are some examples of AI in your daily life?
13. What is a neural network, and how does it work?
14. How do you train a neural network?
15. What does deep learning mean?
16. How do convolutional neural networks work?
17. What are some applications of convolutional neural networks?
18. What is the difference between supervised and unsupervised learning?
19. What are your strengths and weaknesses?
20. Why do you want to work here?
21. What's your biggest accomplishment?
22. Explain the Turing test and what it means for AI.
23. Explain the concept of general intelligence, as well as how it applies to machine learning.
24. What are some examples of narrow AI? Of broad AI? Of superintelligence?
25. How does human-level general intelligence differ from human-level narrow intelligence?
26. What are some of the challenges associated with AI and ML?
27. What kind of data do you need to train an AI model for your problem?
28. How do you approach AI product design?
29. What's the biggest mistake you've made when working with AI? What did you learn from it?