Q.1
14 Marks(b)
Explain the process of k-fold Cross Validation in brief.
(c)
How Dimensionality reduction is achieved by PCA.
Gujarat Technological UniversityWinter 2025 examination
GTU 3171114 Introduction of Machine learning Winter 2025 Question Paper & PDF
B.E. · EC Engineering · Semester 7 · Subject code 3171114
- Total
- 70 marks
- To pass
- 23 marks (33%)
- Duration
- 2.5 Hours 10:30 AM – 1:00 PM
- Questions
- 5 with internal choice
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12 of 25 questions on this paper were also asked in other years. Each is marked below with the years it appeared.See all 14 repeated 3171114 questions, most asked first
Q.2
14 Marks(b)
What is Naive Bayes classifier? Explain various application of Naive Bayes classifier.
Also asked in Summer 2026 Q3b OR, Summer 2025 Q3a OR
(c)
How learning is achieved using supervised learning algorithm.
OR
Q.3
14 Marks(a)
Differentiate between dimensionality reduction and feature selection.
Also asked in Summer 2025 Q5b OR
(b)
Give advantages and disadvantages of K – means Clustering algorithm.
(c)
Compare SVM and Neural Networks.
OR
(b)
Differentiate between Clustering and Classification.
(c)
Write any three key properties of SVM. Enlist any two applications of SVM and write any two limitations of SVM.
Also asked in Summer 2026 Q3a OR
Q.4
14 Marks(a)
Write advantages of Neural Network.
(c)
How error reduction achieved in neural network using back propagation prove it using necessary equation.
Also asked in Summer 2026 Q4b, Summer 2025 Q4c OR
OR
(a)
State two types of computational learning models.
(b)
Differentiate between weights and Hyper parameter.
(c)
Explain Recurrent Neural Network with its architecture.
Q.5
14 Marks(a)
Explain Variance reduction and Bias reduction in the context of Ensemble Method.
(b)
Bagging and Boosting improve decision. justify the statement.
(c)
Explain Vapnik- Chervonenkis (VC) dimension in detail.
Also asked in Summer 2026 Q4c OR, Summer 2025 Q5b
OR
(c)
Explain AdaBoost algorithm in detail with its advantages and disadvantages.
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About this paper
Official Gujarat Technological University (GTU) examination paper for Introduction of Machine learning (Winter 2025, B.E. · EC Engineering, Sem 7). Features complete 70-mark regular & remedial examination pattern, official marking distribution across all 5 questions, and direct 1-click official PDF download.
Transcribed for student exam preparation from Gujarat Technological University official examination archives. Questions, syllabus guidelines, and curriculum marking schemes remain the intellectual property of Gujarat Technological University.