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Gujarat Technological UniversitySummer 2025 Examination

GTU 3170724 Machine Learning (ML) Summer 2025 Paper Solution & PDF

B.E. · Computer Engineering · Semester 7 · Subject Code: 3170724
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Total Marks70 MarksExternal theory exam
Passing Marks23 Marks33% minimum cutoff
Exam Duration2.5 Hours2:30 PM – 5:00 PM
Paper Structure5 QuestionsWith internal OR choices
Jump toQ1Q2Q3Q4Q5

Question 1

14 MarksMedium
(a)
What is machine learning? What are key tasks of machine learning?
3 Marks
(b)

What do you mean by a well-posed learning problem? Explain important features that are required to well-define a learning problem.

4 Marks
(c)
Explain qualitative and quantitative data in details. Differentiate between the two.
7 Marks

Question 2

14 MarksMedium
(a)
What are different shapes of histogram? What are ‘bins’?
3 Marks
(b)
Explain, in details, the different strategies of addressing missing data values.
4 Marks
(c)
Write a short note on: holdout method.
7 Marks
OR OPTION
(c)
Write a short note on: lazy vs. eager leaner.
7 Marks

Question 3

14 MarksMedium
(a)
What is a feature? Explain with an example.
3 Marks
(b)
What is conditional probability means? What is the formula of it?
4 Marks
(c)

What are Bayesian Belief networks? Where are they used? Can they solve all types of problems?

7 Marks
OR OPTION
(a)
Differentiate feature transformation with feature selection.
3 Marks
(b)
What is Poisson distribution? What is the formula?
4 Marks
(c)

What is regression? Differentiate between logistic and linear regression with suitable example.

7 Marks

Question 4

14 MarksMedium
(a)
What is cost of misclassification in SVM?
3 Marks
(b)
What are the advantages of the kNN algorithm?
4 Marks
(c)

Distinguish between supervised learning, semi-supervised learning, and unsupervised learning.

7 Marks
OR OPTION
(a)
What are the factors determining the effectiveness of SVM?
3 Marks
(b)
What are the disadvantages of the kNN algorithm?
4 Marks
(c)
What is overfitting in decision tree? Explain the technique to avoid the overfitting.
7 Marks

Question 5

14 MarksMedium
(a)
What is a dendrogram? Explain its use.
3 Marks
(b)
Explain about Hierarchical clustering algorithm.
4 Marks
(c)

Explain the basic structure of a multi-layer perceptron. Explain how it can solve the XOR problem.

7 Marks
OR OPTION
(a)
What are different clustering techniques?
3 Marks
(b)
Explain about EM algorithm.
4 Marks
(c)

Explain, in details, the backpropagation algorithm. What are the limitations of this algorithm?

7 Marks
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About this Examination Paper & Attribution

Official Gujarat Technological University (GTU) examination paper and step-by-step solutions for Machine Learning (ML) (Summer 2025, B.E. · Computer 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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