What is the exam pattern and passing mark for GTU Machine Learning (3170724)?

The GTU theory examination carries 70 total marks with a duration of 2.5 Hours. Minimum passing criteria is 23 marks (33%). The paper consists of 5 main questions with official marking breakdown and internal choices.

Where can I download the official GTU 3170724 Summer 2025 question paper PDF?

The official GTU question paper PDF is linked directly from Gujarat Technological University's official examination archive. You can view the full paper online or download the original file.

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Gujarat Technological UniversitySummer 2025 examination

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

B.E. · Computer Engineering · Semester 7 · Subject code 3170724

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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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11 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 3170724 questions, most asked first

Q.1

14 Marks

(a)

3 marks

What is machine learning? What are key tasks of machine learning?

(b)

4 marksAsked in 2 of 3 papers

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

Also asked in Summer 2026 Q1a

(c)

7 marksAsked in 2 of 3 papers

Explain qualitative and quantitative data in details. Differentiate between the two.

Also asked in Summer 2026 Q2c

Q.2

14 Marks

(a)

3 marks

What are different shapes of histogram? What are ‘bins’?

(b)

4 marks

Explain, in details, the different strategies of addressing missing data values.

(c)

7 marksAsked in 2 of 3 papers

Write a short note on: holdout method.

Also asked in Summer 2026 Q2c OR

(c)

7 marks

Write a short note on: lazy vs. eager leaner.

Q.3

14 Marks

(a)

3 marks

What is a feature? Explain with an example.

(b)

4 marksAsked in 2 of 3 papers

What is conditional probability means? What is the formula of it?

Also asked in Summer 2026 Q3a OR

(c)

7 marksAsked in 2 of 3 papers

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

Also asked in Winter 2025 Q4b

(a)

3 marksAsked in 2 of 3 papers

Differentiate feature transformation with feature selection.

Also asked in Winter 2025 Q2c OR

(b)

4 marks

What is Poisson distribution? What is the formula?

(c)

7 marks

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

Q.4

14 Marks

(a)

3 marks

What is cost of misclassification in SVM?

(b)

4 marksAsked in 2 of 3 papers

What are the advantages of the kNN algorithm?

Also asked in Winter 2025 Q3c OR

(c)

7 marks

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

(a)

3 marksAsked in 3 of 3 papers

What are the factors determining the effectiveness of SVM?

Also asked in Summer 2026 Q4a OR, Winter 2025 Q4c

(b)

4 marks

What are the disadvantages of the kNN algorithm?

(c)

7 marksAsked in 2 of 3 papers

What is overfitting in decision tree? Explain the technique to avoid the overfitting.

Also asked in Summer 2026 Q4a

Q.5

14 Marks

(a)

3 marks

What is a dendrogram? Explain its use.

(b)

4 marks

Explain about Hierarchical clustering algorithm.

(c)

7 marks

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

(a)

3 marksAsked in 2 of 3 papers

What are different clustering techniques?

Also asked in Summer 2026 Q5c OR

(b)

4 marks

Explain about EM algorithm.

(c)

7 marksAsked in 2 of 3 papers

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

Also asked in Winter 2025 Q5c

More Machine Learning papers

Questions repeat across sessions. Working through two or three papers shows you which topics GTU asks most.

Summer 202670 marks · 5 questions · Solved

Winter 202570 marks · 5 questions · Solved

Other Semester 7 subjects

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2170701

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2170709

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2170710

Mobile Computing and Wireless Communication

2170714

Distributed DBMS

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About this paper

Official Gujarat Technological University (GTU) examination paper 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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