GTU · BE EC · Semester 7
GTU 3171114 Introduction of Machine learning Old Question Papers PDF
Official Gujarat Technological University (GTU) old question papers PDF (Regular & Remedial) and step-by-step solved questions for Introduction of Machine learning across 2025 – 2026 examinations.
14 questions GTU asked more than onceAsked in all 3 papers: Derive bound on number of training samples require for given accuracy, Define VC Dimension and Explain how to find its value using suitable example.See listExam papers
Most repeated questions
14 questions GTU set in two or more of 3 papers, most repeated first. Tap a year to open that paper at the question.
Derive bound on number of training samples require for given accuracy, Define VC Dimension and Explain how to find its value using suitable example.
Compare: Overfitting and Underfitting.
What is Backpropagation? List down advantages of using it in Neural Network.
List down application of Naïve Bayes classifier and explain any one in detail.
Differentiate between linear regression and logistic regression.
Explain basic Decision Tree Learning Algorithm.
List down different types of clustering techniques and write down main characteristics of them.
Compare ReLu and Soft Max activation functions.
List down different types of ensemble learning algorithm.
What is bootstrap aggregation?
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Differentiate between dimensionality reduction and feature selection.
Enlist limitations of Bayes classifier.
Write down advantages and disadvantages of SVM.
Can all the problems be solved using machine learning? Explain your response.
Which branches take this subject
GTU's syllabus lists 3171114 for 2 branches. One set of papers serves all of them.
Semester 7, elective: 2 branches
Electronics & Communication Engineering, Electronics Engineering
Other Semester 7 subjects
Common questions
Are these GTU 3171114 Introduction of Machine learning papers valid for both Regular and Remedial exams?
Yes. Gujarat Technological University (GTU) follows the same 70-mark syllabus, exam blueprint, and 23-mark passing cutoff for both Regular and Remedial (ATKT/backlog) examinations. All 3 past exam sessions (2025 – 2026) serve as comprehensive preparation for either attempt.
How can I download GTU 3171114 Introduction of Machine learning old question papers PDF?
You can download official GTU 3171114 original question paper PDFs directly from the table above with 1 click and zero deceptive ads or wait timers. Every paper also includes interactive online questions with AI study prompts.
What is the passing mark for GTU Introduction of Machine learning (3171114)?
The external theory exam carries 70 marks. The minimum passing cutoff is 23 marks (33%). Exam duration is 2.5 hours.
What is the GTU exam pattern for 3171114?
The examination contains 5 main questions of 14 marks each, totaling 70 marks. Questions 2 through 5 provide internal OR choices, typically split into 3-mark, 4-mark, and 7-mark questions.