Gujarat Technological UniversitySummer 2025 examination

GTU 3171617 Applied Machine Learning Summer 2025 Question Paper & PDF

B.E. · IT Engineering · Semester 7 · Subject code 3171617
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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. 1 more is a type of question GTU sets again with new data. Each is marked below with the years it appeared.See all 10 repeated 3171617 questions, most asked first

Q.1

14 Marks
(a)
3 marks

Define machine learning. Enlist any four tools and technologies of machine learning.

(b)
4 marks
Define the following terms:
i)Event
ii)Sample Space
iii)Random Variable
iv)Inductive bias
(c)
7 marks

For preparation of the exam, a student knows that one question is to be solved in the exam which is either of types A, B, or C. The probabilities of A, B, or C appearing in the exam are 30%, 20%, and 50% respectively. During the preparation, the student solved 9 of 10 problems of type A, 2 of 10 problems of type B, and 6 of 10 problems of type C. (i) What is the probability that the student will solve the problem of the exam?(ii) Given that the student solved the problem, what is the probability that it was of type A?

Q.2

14 Marks
(a)
3 marksAsked in 2 of 2 papers
Explain the various methods to perform cross validation.

Also asked in Summer 2026 Q1c

(b)
4 marks
Explain Monte Carlo Approximation with suitable example.
(c)
7 marks

According to the U.S. Census Bureau, approximately 6% of all workers in Jackson, Mississippi, are unemployed. In conducting a random telephone survey in Jackson, what is the probability of getting two or fewer unemployed workers in a sample of 20?

(c)
7 marks

A study is conducted in a company that employs 800 engineers. A random sample of 50 engineers reveals that the average sample age is 34.3 years. Historically, the population standard deviation of the age of the company’s engineers is approximately 8 years. Construct a 98% confidence interval to estimate the average age of all the engineers in this company.

Q.3

14 Marks
(a)
3 marksAsked in 2 of 2 papers
Discrete Distribution Vs Continuous Distribution.

Also asked in Summer 2026 Q4b OR

(b)
4 marks
Write short note on Bayesian Belief Network.
(c)
7 marksSame type asked in 2 of 2 papers

Suppose you have a population of test scores for a large group of students. The population's mean test score is 75, and the population's standard deviation is

10You take random samples of 30 students' test scores from this population.

Calculate the following:

aThe mean and standard deviation of the sample means.
bThe probability that the sample mean of one of your samples is greater than
78
cThe probability that the sample mean of one of your samples is between 72 and 78. Use the Central Limit Theorem to solve this problem.

Also asked in Summer 2026 Q5b

(a)
3 marks
Enlist the factors determining the effectiveness of SVM.
(b)
4 marksAsked in 2 of 2 papers
Explain Bays theorem with example.

Also asked in Summer 2026 Q1b

(c)
7 marks

An antibiotic resistance test (random variable T) has 1% false positives (i.e. 1% of those not resistance to an antibiotic show positive result in the test) and 5% false negatives (i.e. 5% of those actually resistant to an antibiotic test negative). Let us assume that 2% of those tested are resistant to antibiotics. Determine the probability that somebody who tests positive is actually resistant (random variable D).

Q.4

14 Marks
(a)
3 marks
Discuss OOB error and variable importance in random forest.
(b)
4 marks
Explain with suitable example.
i)Multivariate regression
ii)Logistic regression
(c)
7 marks

Explain the use of association rule mining. Write and explain the steps of Apriori algorithm.

(a)
3 marks

Define reinforcement learning. Explain the concept of penalty and reward in reinforcement learning.

(b)
4 marksAsked in 2 of 2 papers
Define and explain MLE and MAP.

Also asked in Summer 2026 Q4b

(c)
7 marks

Define the following terms

aSample error
bTrue error
cPrecision
dExpected value e. Variance f. Standard Deviation g. Recall

Q.5

14 Marks
(a)
3 marksAsked in 2 of 2 papers
Write short note on Adversarial Attacks.

Also asked in Summer 2026 Q3c

(b)
4 marks
Define Perceptron. Explain its working.
(c)
7 marksAsked in 2 of 2 papers
aDefine RNN.
bEnlist 4 applications of RNN.
cExplain working of RNN.

Also asked in Summer 2026 Q3a OR

(a)
3 marksAsked in 2 of 2 papers
Write short note on GAN with its architecture.

Also asked in Summer 2026 Q3c OR

(b)
4 marksAsked in 2 of 2 papers

Enlist and explain various hyper parameters which are being tuned for improving the deep learning model.

Also asked in Summer 2026 Q3a

(c)
7 marksAsked in 2 of 2 papers
aDefine CNN.
bEnlist 4 applications of CNN.
cExplain working of CNN.

Also asked in Summer 2026 Q5b OR

More Applied 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

Other Semester 7 subjects

BE IT

2171607
Big Data Analytics
3171608
Wireless Communication
3171609
Software Project Management
3171610
Agile Development and UI/UX design

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About this paper

Official Gujarat Technological University (GTU) examination paper for Applied Machine Learning (Summer 2025, B.E. · IT 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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