MCASemester 42024-25Machine LearningKCA054

Machine Learning (KCA054) - AKTU Question Paper 2024-25

MCA · Semester 4 · Free PDF Download

This is the official AKTU Machine Learning Previous Year Question Paper for MCA Semester 4, academic session 2024-25. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:MCA

Semester:Semester 4

Session:2024-25

University:AKTU / UPTU

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Questions Asked in 2024-25

Machine Learning (KCA054) — complete question paper · 100 marks · 3 Hours

Section AAttempt all questions in brief. 2 x 10 = 20

b
List out the four issues in Machine Learning
c
Can Logistic Regression be used for classification? Explain it
d
Explain the termhyperplane in SVM
e
Illustrate the issues in decision tree learning
f
Explain information gain
g
Explain unsupervised learning with an example
h
Explain Self Organizing Map (SOM). 4 K2 i. Describe reinforcement learning. 5 K1 j. Explain Markov Decision process

Section BAttempt any three of the following: 10 x 3 = 30

a
How is the clustering approach different from decision tree learning?Point out the reasons
b
Explain the Naïve Bayes cla ssifier and its principle
c
Explain Instance-Based Learning. Compare Locally Weighted Regression and Radial Basis Function Networks
d
Explain the concept of perceptron along with its working wit h a suitable example
e
Explain in detail about Genetic Algorithm, its components an d its applications

Section CAttempt any one part of the following: 10 x 1 = 10

a
Compare between Machine Learning and Data Science. Mention o ne challenge faced in Machine Learning and explain why it's an issue
b
Describe the architecture of an artificial neural network. S tate the learning parameters used in ANN
a
What is the importance of supp ort vector kernel? Explain its types
b
Express your understanding of C oncept Learning. Also describ e in briefly the algorithms used for Concept Learning
a
Describe ID-3 algorithm with an example
b
Explain k-Nearest Neighbor L earning algorithm with an example
a
Explain Types of Gradient Desc ent. Also explain Delta Rule a nd related algorithm
b
Describe CNN architecture. Specify the function of each laye r
a
Explain Q-learning and D eep Q-learning in detail
b
Analyze the components of Rei nforcement Learning along with its three different models

Question text is extracted from the official AKTU question paper PDF above. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.

Repeated Questions — KCA054

Questions that appeared in more than one session, found by comparing 2 years of Machine Learning papers (2021-22, 2024-25)

List out the four issues in Machine Learning