✅ Top 50 AI Interview Questions 🤖🧠

1. What is Artificial Intelligence?
2. Difference between AI, Machine Learning, and Deep Learning
3. What is supervised vs unsupervised learning?
4. Explain overfitting and underfitting
5. What are classification and regression?
6. What is a confusion matrix?
7. Define precision, recall, F1-score
8. What is the difference between batch and online learning?
9. Explain bias-variance tradeoff
10. What are activation functions in neural networks?
11. What is a perceptron?
12. What is gradient descent?
13. Explain backpropagation
14. What is a convolutional neural network (CNN)?
15. What is a recurrent neural network (RNN)?
16. What is transfer learning?
17. Difference between parametric and non-parametric models
18. What are the different types of AI (ANI, AGI, ASI)?
19. What is reinforcement learning?
20. Explain Markov Decision Process (MDP)
21. What are generative vs discriminative models?
22. Explain PCA (Principal Component Analysis)
23. What is feature selection and why is it important?
24. What is one-hot encoding?
25. What is dimensionality reduction?
26. What is regularization? (L1 vs L2)
27. What is the curse of dimensionality?
28. How does k-means clustering work?
29. Difference between KNN and K-means
30. What is Naive Bayes classifier?
31. Explain Decision Trees and Random Forest
32. What is a Support Vector Machine (SVM)?
33. What is ensemble learning?
34. What is bagging vs boosting?
35. What is cross-validation?
36. Explain ROC curve and AUC
37. What is an autoencoder?
38. What are GANs (Generative Adversarial Networks)?
39. Explain LSTM and GRU
40. What is NLP and its applications?
41. What is tokenization and stemming?
42. Explain BERT and its use cases
43. What is the role of attention in transformers?
44. What is a language model?
45. Explain YOLO in object detection
46. What is Explainable AI (XAI)?
47. What is model interpretability vs explainability?
48. How do you deploy a machine learning model?
49. What are ethical concerns in AI?
50. What is prompt engineering in LLMs?

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