1. Define Artificial Intelligence (AI).
2. What are the task domains of Artificial Intelligence?
3. List major applications of Artificial Intelligence.
4. Define Machine Learning and state its need.
5. What are the issues in Machine Learning?
6. Define Business Intelligence.
7. Explain AI automation with examples.
8. Define Intelligent Agents.
9. Differentiate between goal-based agents and learning agents.
10. Define reinforcement learning.
11. What is Deep Learning?
12. List different types of Deep Neural Networks.
13. What is a perceptron? Why is it called a linear binary classifier?
14. Define hyperplane and support vectors in SVM.
15. Differentiate linear SVM and non-linear SVM.
16. Define overfitting and underfitting.
17. What is cross-validation?
18. Define feature engineering.
19. What is clustering?
20. Define classification.
21. Define Natural Language Processing (NLP).
22. List phases of NLP.
23. What is sentiment analysis?
24. What is image sampling in computer vision?
25. Define image representation in computer vision.
26. What is facial recognition technology?
27. Define NumPy library.
28. Define Pandas library.
29. Differentiate NumPy and Pandas.
30. What is Matplotlib?
31. Define float16, float32, and float64 data types in NumPy.
32. What is batch size, learning rate, and epoch in ML?
33. What is MNIST dataset?
34. Define OLAP and OLTP.