GTU · BE IT · Semester 7

GTU 3171617 Applied Machine Learning Old Question Papers PDF

Official Gujarat Technological University (GTU) old question papers PDF (Regular & Remedial) and step-by-step solved questions for Applied Machine Learning across 2025 – 2026 examinations.

2 papers, 2025 – 202670 marks23 to pass2.5 hours
10 questions GTU asked more than onceAsked in all 2 papers: Suppose two students train the models in which one uses cross-validation, the other does not. Evaluate which approach is more reliable and why?See list

Exam papers

Most repeated questions

10 questions GTU set in two or more of 2 papers, most repeated first. Tap a year to open that paper at the question.

  1. Suppose two students train the models in which one uses cross-validation, the other does not. Evaluate which approach is more reliable and why?

    7 marksAsked in 2 of 2 papers

    Summer 2026 Q1c Summer 2025 Q2a

  2. Define adversarial attack in machine learning. Explain how small changes to input data can fool a trained model with any real-world applications example.

    7 marksAsked in 2 of 2 papers

    Summer 2026 Q3c Summer 2025 Q5a

  3. Explain the role of Generator and Discriminator in a GAN with a simple example.

    7 marksAsked in 2 of 2 papers

    Summer 2026 Q3c OR Summer 2025 Q5a OR

  4. State Bayes' theorem and explain its formula.

    4 marksAsked in 2 of 2 papers

    Summer 2026 Q1b Summer 2025 Q3b OR

  5. State the difference between Maximum Likelihood Estimation (MLE) and Maximum A Posteriori Estimation (MAP).

    4 marksAsked in 2 of 2 papers

    Summer 2026 Q4b Summer 2025 Q4b OR

  6. Compare discrete vs continuous distribution with example.

    4 marksAsked in 2 of 2 papers

    Summer 2026 Q4b OR Summer 2025 Q3a

  7. Analyze the working of a Convolutional Neural Network. Compare its performance with a simple feed forward neural network with suitable example

    4 marksAsked in 2 of 2 papers

    Summer 2026 Q5b OR Summer 2025 Q5c OR

  8. A population consists of six numbers 4,8,12,16,20,24 .consider all samples of size two which can be drawn without replacement from this population. Calculate

    4 marksSame type asked in 2 of 2 papers

    Summer 2026 Q5b Summer 2025 Q3c

  9. Enlist 4 applications of RNN.

    3 marksAsked in 2 of 2 papers

    Summer 2026 Q3a OR Summer 2025 Q5c

  10. What is hyperparameter tuning?

    3 marksAsked in 2 of 2 papers

    Summer 2026 Q3a Summer 2025 Q5b OR

Which branches take this subject

GTU's syllabus lists 3171617 for 1 branch. One set of papers serves all of them.

Semester 7, elective: 1 branch

Information Technology

Other Semester 7 subjects

Common questions

Are these GTU 3171617 Applied 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 2 past exam sessions (2025 – 2026) serve as comprehensive preparation for either attempt.

How can I download GTU 3171617 Applied Machine Learning old question papers PDF?

You can download official GTU 3171617 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 Applied Machine Learning (3171617)?

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 3171617?

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.