GTU 3171114 Introduction of Machine learning Summer 2026 Question Paper & PDF
- 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.2
14 MarksQ.3
14 MarksAlso asked in Winter 2025 Q2b, Summer 2025 Q3a OR
Q.4
14 MarksAlso asked in Winter 2025 Q4c, Summer 2025 Q4c OR
Do Implementation of Perceptron Algorithm for AND Logic Gate with 2-bit Binary Input.
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 MarksList down different types of clustering techniques and write down main characteristics of them.
Also asked in Summer 2025 Q5c
Also asked in Winter 2025 Q1a
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Questions repeat across sessions. Working through two or three papers shows you which topics GTU asks most.
Other Semester 7 subjects
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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.