Artificial Intelligence – Question Paper (50 marks)
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Q. No. 1
Attempt any FIVE (20 Marks)
a. Define Artificial Intelligence (AI) and mention any
two real-world applications of AI.
b. Give the equation of Simple Linear Regression.
Explain the regression coefficients.
c. Give two example statements which can be used
as premises and two which cannot be used in
propositional logic.
d. Explain Supervised, Unsupervised, and
Reinforcement Learning with one example for each.
e. Differentiate between Simple Linear Regression
and Multiple Linear Regression.
f. What is Information Gain? How is it used in
decision tree induction?
g. Compare k-NN and k-Means based on:
- Type (Supervised/Unsupervised)
- Output
- Training Process
- Use-case
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Q. No. 2
Attempt any TWO (10 Marks)
a. List and explain any five AI application areas
(Robotics, NLP, Computer Vision, Expert Systems,
etc.) with a one-line use-case for each.
