Gujarat Technological UniversitySummer 2026 examination

GTU 3171114 Introduction of Machine learning Summer 2026 Question Paper & PDF

B.E. · EC Engineering · Semester 7 · Subject code 3171114
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Total
70 marks
To pass
23 marks (33%)
Duration
2.5 Hours 2:30 PM – 5:00 PM
Questions
5 with internal choice
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9 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.1

14 Marks
(a)
3 marks
What’s the trade-off between bias and variance?
(b)
4 marksAsked in 3 of 3 papers
Compare: Overfitting and Underfitting.

Also asked in Winter 2025 Q2a, Summer 2025 Q2a

(c)
7 marks
Classify and explain different types of learning.

Q.2

14 Marks
(a)
3 marks
Compare: Decision Tree and Linear Regression
(b)
4 marks
How is KNN different from k-means clustering?
(c)
7 marks
What is a model in context of machine learning? How can you train a model?
(c)
7 marksAsked in 2 of 3 papers
Differentiate between linear regression and logistic regression.

Also asked in Winter 2025 Q5b OR

Q.3

14 Marks
(a)
3 marks
What’s the difference between Type I and Type II error?
(b)
4 marks
Explain the difference between activation function and threshold function.
(c)
7 marks
What is Bayes’ Theorem? How is it useful in a machine learning context?
(a)
3 marksAsked in 2 of 3 papers
Write down advantages and disadvantages of SVM.

Also asked in Winter 2025 Q3c OR

(b)
4 marksAsked in 3 of 3 papers
List down application of Naïve Bayes classifier and explain any one in detail.

Also asked in Winter 2025 Q2b, Summer 2025 Q3a OR

(c)
7 marks
List down advantages and disadvantages of Bagging.

Q.4

14 Marks
(a)
3 marks
Explain McCulloch-Pitts model of neuron.
(b)
4 marksAsked in 3 of 3 papers
What is Backpropagation? List down advantages of using it in Neural Network.

Also asked in Winter 2025 Q4c, Summer 2025 Q4c OR

(c)
7 marks

Do Implementation of Perceptron Algorithm for AND Logic Gate with 2-bit Binary Input.

(a)
3 marksAsked in 2 of 3 papers
List down different types of ensemble learning algorithm.

Also asked in Summer 2025 Q5a

(b)
4 marks
Compare: Artificial neuron and biological neuron.
(c)
7 marksAsked in 3 of 3 papers

Derive bound on number of training samples require for given accuracy, Define VC Dimension and Explain how to find its value using suitable example.

Also asked in Winter 2025 Q5c, Summer 2025 Q5b

Q.5

14 Marks
(a)
3 marks
Write down different techniques for data preprocessing.
(b)
4 marks
What is feature? Explain with the help of an example.
(c)
7 marksAsked in 2 of 3 papers

List down different types of clustering techniques and write down main characteristics of them.

Also asked in Summer 2025 Q5c

(a)
3 marksAsked in 2 of 3 papers
Can all the problems be solved using machine learning? Explain your response.

Also asked in Winter 2025 Q1a

(b)
4 marks
List down classification learning steps.
(c)
7 marks
Write down different types of approach for feature selection and explain any of two.

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About this paper

Official Gujarat Technological University (GTU) examination paper for Introduction of Machine learning (Summer 2026, 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.

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