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) — extracted question text · 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. Check the original PDF for equations, diagrams and complete wording. Extracted: 2026-08-23.

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