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MCS-224 English Medium Solved Assignments 2024-25

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MCS-224 English Medium Solved Assignments 2024-25 Available

MCS-224: Artificial Intelligence and Machine Learning

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MCS-224 English Medium Solved Assignments 2024-25 Available

Q1: Classify AI on the basis of the functionalities of AI. Also discuss some important applications of AI.
Q2: Define Supervised, Unsupervised and Reinforcement learning with a suitable examples of each
Q3: Compare Artificial Intelligence, Machine Learning, and Deep Learning.
Q4: Find the minimum cost path for the 8-puzzle problem, where the start and goal state are given as
follows:

PNG1

Q5: Consider the following graph. The numbers written on edges represents the distance between the nodes
and the numbers written on nodes represents the heuristic value. Find the most cost- effective path to
reach from Noda A to node J using A* Algorithm.

PNG2

Q6: Discuss the transforming an FOPL Formula into Prenex Normal Form with suitable
example.
Also, discuss Skolomization with a suitable example.
Q7: Explain Forward Chaining Systems and Backward Chaining Systems with a
suitable examplefor each.
Q8: Prove that following properties hold for fuzzy sets
(i) Commutativity (ii) Associativity (iii) Distributivity (iv) Demorgan’s
Law
Q9: Briefly discuss the various Ensemble methods.
Q10: What is logistic regression? Explain with the help of a suitable example.
Q11: Explain Decision Tree algorithm with the help of a suitable example.
Q12: Explain Naïve Bayes Classification Algorithm with a suitable example.
Q13: Explain K-Nearest Neighbors classification Algorithm with a suitable example.
Q14: For the given points of two classes red and blue:
Blue: { (1,2), (2,1), (1,-1), (1,-2)}
Red : { (3,1), (4,3), (3,5), (6,3)}
Plot a graph for the red and blue categories. Find the support vectors and optimal
separating line.
Q15: Compute the Linear Discriminant projection for the following two-dimensional
dataset:
X1 =(x1, x2) = (4, 2), (2, 2), (3, 2), (3, 5), (3, 4)
X2 = (x1, x2) = (8, 7), (9, 6), (7, 7), (9, 8), (10, 9)
Q16: Explain FP Tree Growth Algorithm with a suitable example.

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