B.TechSemester 52025-26Machine Learning TechniquesBCS055
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Machine Learning Techniques (BCS055) - AKTU Question Paper 2025-26

B.Tech · Semester 5 · Free PDF Download

This is the official AKTU Machine Learning Techniques Previous Year Question Paper for B.Tech Semester 5, academic session 2025-26. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 5
Session:2025-26
University:AKTU / UPTU

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Questions Asked in 2025-26

Machine Learning Techniques (BCS055) — complete question paper · 70 marks · 3 Hours

Section AAttempt all q u e s t i o n s i n b r i e f . 02 x 7 = 14
  • a
    Define Machine Learning. CO
  • b
    What is a well-defined learning problem? CO
  • c
    State any two applications of Logistic Regression. CO
  • d
    What is Entropy in Decision Tree Learning? CO
  • e
    Define Support Vector Machine (SVM). CO
  • f
    What is backpropagation in neural networks? CO
  • g
    What is Q-learning? CO
Section BAttempt any three o f t h e f o l l o w i n g : 07 x 3 = 21
  • a
    Explain types of learning in Machine Learning with suitable examples. CO
  • b
    Describe Linear Regression and its assumptions. CO
  • c
    Explain Naïve Bayes classifier with an example. CO
  • d
    Discuss the properties and issues of Support Vector Machines. C O
  • e
    Explain k-Nearest Neighbour (k-NN) algorithm and its limitations. CO
Section CAttempt any one p a r t o f t h e f o l l o w i n g : 07 x 1 = 07
  • a
    Explain the ID3 algorithm for Decision Tree learning. CO
  • b
    Discuss inductive bias and inductive inference in decision trees. CO
  • a
    Explain perceptron and multilayer perceptron with neat diagram. CO
  • b
    Derive the Backpropagation algorithm for training neural networks. CO
  • a
    Explain the architecture of Convolutional Neural Networks (CNN). CO
  • b
    Discuss applications of Deep Learning with suitable case studies. CO
  • a
    Explain Reinforcement Learning with Markov Decision Process. CO
  • b
    Describe Q-Learning algorithm and its applications. CO
  • a
    Explain Genetic Algorithm cycle with suitable example. CO
  • b
    Analyze the role of crossover and mutation in Genetic Algorithms. CO

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 — BCS055

Questions that appeared in more than one session, found by comparing 2 years of Machine Learning Techniques papers (2024-25, 2025-26)

2x

Explain the architecture of Convolutional Neural Networks (CNN). CO

Appeared in: 2024-25 · 2025-26

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