MCASemester 42021-22Machine LearningKCA-054

Machine Learning (KCA-054) - AKTU Question Paper 2021-22

MCA · Semester 4 · Free PDF Download

This is the official AKTU Machine Learning Previous Year Question Paper for MCA Semester 4, academic session 2021-22. 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:2021-22
University:AKTU / UPTU

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Questions Asked in 2021-22

Machine Learning (KCA-054) — complete question paper

Section AAttempt all q u e s t i o n s i n b r i e f . 2*10 = 20
  • a
    Define the term learni ng in Machine Learning. 1
  • b
    List out the four issues in Machine Learning. 1
  • c
    Describe logistic regression. 2
  • d
    Explain the term Hyper Plane in SVM. 2
  • e
    What is Instance Based Learning? 3
  • f
    What is meant by information gain? 3
  • g
    What is Perceptron in Ar tificial Neural Network? 4
  • h
    Explain the function of Pooling Layer in CNN. 4 (i) Identify four applications of reinforcement learning. 5 (j) Define the term Mutation in Genetic Algorithm. 5
Section BAttempt any three o f t h e f o l l o w i n g : 10*3 = 30
  • a
    Explain the history of Mach ine Learning based on their application. 1
  • b
    Explain Naïve bayes classi fier and its principle. 2
  • c
    List out the five Issues in Decision tree learning. 3
  • d
    Differentiate between super vised and unsupervised learning. 4
  • e
    Explain Markov decision process. 5
Section CAttempt any one p a r t o f t h e f o l l o w i n g : 10*1 = 10
  • a
    How is clustering approach di fferent from decision tree learning? 1
  • b
    Describe the architecture of artificial neural network. Sta te the learning parameters used in ANN
  • a
    Explain in detail about R egression and its types. 2
  • b
    What is the importance of s upport vector kernel? Explain its types. 2
  • a
    Describe ID-3 algorithm with an example. 3
  • b
    Explain k-Nearest Neighbor L earning algorithm with an example. 3
  • a
    What is gradient descent problem? Explain its types. 4
  • b
    Describe CNN architecture. S pecify the function of each layer. 4
  • a
    Explain in detail about Q -learning and Deep Q-learning. 5
  • b
    Explain Genetic Algorithm c ycle of reproduction with its components. 5

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 — KCA-054

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

2x

List out the four issues in Machine Learning. 1

Appeared in: 2021-22 · 2024-25

2x

Explain the term Hyper Plane in SVM. 2

Appeared in: 2021-22 · 2024-25

2x

Explain Naïve bayes classi fier and its principle. 2

Appeared in: 2021-22 · 2024-25

2x

List out the five Issues in Decision tree learning. 3

Appeared in: 2021-22 · 2024-25

2x

How is clustering approach di fferent from decision tree learning? 1

Appeared in: 2021-22 · 2024-25

2x

Describe the architecture of artificial neural network. Sta te the learning parameters used in ANN

Appeared in: 2021-22 · 2024-25

2x

What is the importance of s upport vector kernel? Explain its types. 2

Appeared in: 2021-22 · 2024-25

2x

Describe ID-3 algorithm with an example. 3

Appeared in: 2021-22 · 2024-25

2x

Explain k-Nearest Neighbor L earning algorithm with an example. 3

Appeared in: 2021-22 · 2024-25

2x

Describe CNN architecture. S pecify the function of each layer. 4

Appeared in: 2021-22 · 2024-25

2x

Explain in detail about Q -learning and Deep Q-learning. 5

Appeared in: 2021-22 · 2024-25