Question 1
(a)
What is well-posed learning problem?
3 Marks
(b)
Differentiate classification and regression.
4 Marks
(c)
Explain steps and activities to use machine learning for any real word application.
7 Marks
Gujarat Technological UniversitySummer 2026 Examination
GTU 3170724 Machine Learning (ML) Summer 2026 Paper Solution & PDF
B.E. · Computer Engineering · Semester 7 · Subject Code: 3170724
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
Question 2
(a)
Define outliers in data. How to handle them?
3 Marks
(b)
Differentiate central tendency and data dispersion with simple examples.
4 Marks
(c)
Discuss different types of data in machine learning.
7 Marks
OR OPTION
(c)
Discuss holdout and k-fold cross validation for supervised learning.
7 Marks
Question 3
(a)
Define central limit theorem.
3 Marks
(b)
Differentiate feature construction and feature extraction.
4 Marks
(c)
Discuss parametric distributions defined on discrete sample space.
7 Marks
OR OPTION
(a)
Define Bayes theorem.
3 Marks
(b)
Differentiate feature relevance and feature redundancy.
4 Marks
(c)
Discuss hypothesis testing in detail.
7 Marks
Question 4
(a)
How to avoid overfitting in decision tree based classifier?
3 Marks
(b)
How to improve accuracy of a linear regression model?
4 Marks
(c)
Explain Naïve Bayes classifier with a simple example.
7 Marks
OR OPTION
(a)
How to identify correct hyperplane in SVM?
3 Marks
(b)
How to measure accuracy of a classification model?
4 Marks
(c)
Explain decision tree based classifier with a simple example.
7 Marks
Question 5
(a)
Association rule mining is probabilistic method of unsupervised learning. True or False? Justify your answer.
3 Marks
(b)
In which applications does using deep learning provide significant performance improvements compared to traditional machine learning methods?
4 Marks
(c)
Compare various activation functions for neural networks along with their advantages and limitations.
7 Marks
OR OPTION
(a)
A significant increase in the number of hidden layers in a neural network is more likely to cause underfitting. True or False? Justify your answer.
3 Marks
(b)
How does reinforcement learning differ from supervised learning, and in what types of applications is reinforcement learning particularly useful?
4 Marks
(c)
Compare various clustering algorithms along with their advantages and limitations.
7 Marks
College Exam Groups
Studying for Machine Learning?
Circulate this solved paper with KaTeX formulas and 1-click AI step solvers to your batchmates on WhatsApp or Telegram.
About this Examination Paper & Attribution
Official Gujarat Technological University (GTU) examination paper and step-by-step solutions for Machine Learning (ML) (Summer 2026, 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.