Indian Institute of Technology Madras
BS Degree Programme · Examination & Study Paper
Machine Learning Foundations
All 2025 papers
Examination Instructions & Guidelines
- Solve on notebook/paper first before checking solutions.
- MCQ: Exactly 1 option is correct. Negative marking applies.
- MSQ: One or more options correct. Select all to score.
- NAT: Numerical response. No negative marking.
- Scientific calculator allowed for all calculations.
- Official answer key is sealed at the end of this sheet.
Quiz 1 · 26 Oct 2025 (AN)Quiz 1
- Q1MCQ1 Mark·Choose one option
A bank wants to decide whether a loan applicant should be given a loan or not, based on features like income, credit score and past records. Which of the following machine learning techniques is applicable for this scenario?
- ARegression
- BClassification
- CClustering
- DDimensionality Reduction
- Q2MCQ3 Marks·Choose one option

- A

- B

- C

- D

- A
- Q3MSQ2 Marks·Choose all correct options

- A

- B

- C

- D

- A
- Q4NAT3 Marks·Write the number
Your answer: - Q5NAT3 Marks·Write the number
Your answer: - Q6NAT2 Marks·Write the number
Your answer: Read the passage below, then answer Q7–Q8

Based on the above data, answer the given subquestions.
Q7MCQ3 Marks·Choose one optionWhich of these models has the smallest squared loss on this training dataset?
- A

- B

- C

- D

- A
- Q8MCQ2 Marks·Choose one option

- ANo
- BYes
- CInsufficient information to answer the question
Read the passage below, then answer Q9–Q10

Based on the above data, answer the given subquestions.
Q9MCQ3 Marks·Choose one optionWhich of the following sets forms a basis for the row space of A?
- A{(1, 0, 2), (0, 1,−1)}
- B{(1, 0, 2), (0, 1,−1), (0, 0,−1)}
- C{(1, 0, 2), (0,−1, 1), (0,−1,−4)}
- D{(0, 1,−1), (0, 0,−4)}
- Q10MCQ2 Marks·Choose one option

- A

- B

- C

- D

- A
Read the passage below, then answer Q11–Q12

Based on the above data, answer the given subquestions.
Q11MSQ2 Marks·Choose all correct optionsWhich of the following is/are true?
- AA is an orthogonal matrix
- BA is invertible
- CA is symmetric
- Q12MCQ3 Marks·Choose one option
Which of the following is true?
- AA does not have real eigenvalues
- BA has two distinct real eigenvalues
- CA has two real eigenvalues, not necessarily distinct
Read the passage below, then answer Q13–Q15
There is no common data for this question. There are three independent sub-questions for which you have to answer True/False.
Q13MCQ2 Marks·Choose one optionIf a square matrix A is diagonalizable, then A is invertible.
- ATrue
- BFalse
- Q14MCQ1 Mark·Choose one option
The eigenvalues of a real symmetric matrix are real.
- ATrue
- BFalse
- Q15MCQ2 Marks·Choose one option
A square matrix A of shape n x n is diagonalizable if and only if it has n distinct eigenvalues.
- ATrue
- BFalse
Read the passage below, then answer Q16–Q18

Based on the above data, answer the given subquestions.
Q16MCQ2 Marks·Choose one option
- A

- B

- C

- D

- A
- Q17NAT2 Marks·Write the number
Your answer: - Q18MCQ2 Marks·Choose one option

- A(A)
- B(B)
End Term · 31 Aug 2025 (FN)End Term
- Q19MCQ3 Marks·Choose one option

- A

- B

- C

- D

- A
- Q20MSQ4 Marks·Choose all correct options

- A

- B

- C

- D

- A
- Q21MSQ3 Marks·Choose all correct options

- A

- B

- C

- D

- A
- Q22MSQ3 Marks·Choose all correct options

- A

- B

- C

- D

- A
- Q23NAT4 Marks·Write the number
Your answer: - Q24NAT4 Marks·Write the number
Your answer: - Q25NAT4 Marks·Write the number
Your answer: Read the passage below, then answer Q26–Q27

Based on the above data, answer the given subquestions
Q26NAT3 Marks·Write the number
Your answer:- Q27MSQ3 Marks·Choose all correct options
Which of the following options is/are true?
- AA is a Hermitian matrix.
- BA is not a unitary matrix.
- CA is diagonalizable.
- DNone of these.
Read the passage below, then answer Q28–Q31
Q28MCQ2 Marks·Choose one optionLet A = (x, y) be a point in the set S which is closest to the origin. Choose the correct Primal optimization problem from the following.
- A

- B

- C

- D

- A
- Q29MCQ2 Marks·Choose one option
Which of the following options is/are true ?
- A

- B

- C

- D

- E

- A
- Q30MSQ2 Marks·Choose all correct options
Which of the following options is /are true?
- AS is a convex set.
- BThe objective function of the Primal optimization problem (with respect to the answer of question no 11) is a convex function.
- CThe objective function of the Primal optimization problem(with respect to the answer of question no 11) is a concave function.
- DNone of these.
- Q31NAT3 Marks·Write the number
Your answer:
End Term · 31 Aug 2025 (AN)End Term
- Q32MCQ3 Marks·Choose one option

- A

- B

- C

- D

- A
- Q33MSQ4 Marks·Choose all correct options

- A

- B

- C

- D

- A
- Q34MSQ3 Marks·Choose all correct options

- A

- B

- C

- D

- A
- Q35NAT4 Marks·Write the number
Your answer: - Q36NAT4 Marks·Write the number
Your answer: - Q37NAT4 Marks·Write the number
Your answer: - Q38NAT3 Marks·Write the number
Your answer: Read the passage below, then answer Q39–Q42
Q39MCQ2 Marks·Choose one optionLet A = (x, y) be a point in the set S which is closest to the origin. Choose the correct Primal optimization problem from the following.
- A

- B

- C

- D

- A
- Q40MSQ2 Marks·Choose all correct options
Which of the following options is/are true?
- A

- B

- C

- D

- E

- A
- Q41NAT3 Marks·Write the number
If A = (x, y) is the closest point to the origin, then find the value of 3x − y.
Your answer: - Q42MSQ2 Marks·Choose all correct options
Which of the following options is/are true ?
- AS is a convex set.
- BThe objective function of the Primal optimization problem part (A) is a convex function.
- CThe objective function of the Primal optimization problem part (A) is a concave function.
- DNone of these
Read the passage below, then answer Q43–Q44

Based on the above data, answer the given subquestions.
Q43NAT3 Marks·Write the number
Your answer:- Q44MSQ3 Marks·Choose all correct options
Which of the following options is /are true?
- AA is not a Hermitian matrix.
- BA is not a unitary matrix.
- CA is diagonalizable.
- DNone of these
Quiz 2 · 3 Aug 2025 (AN)Quiz 2
- Q45MCQ2 Marks·Choose one option

- A

- B

- C

- D

- A
- Q46MCQ2 Marks·Choose one option

- AQ is positive definite.
- BQ is positive semi-definite.
- CQ is negative definite.
- DQ is negative semi-definite.
- ENone of these
- Q47MCQ3 Marks·Choose one option

- AA is positive definite.
- BA is positive semi-definite.
- CA is negative definite.
- DA is negative semi-definite.
- Q48MCQ3 Marks·Choose one option

- A

- B

- C

- D

- A
- Q49MCQ3 Marks·Choose one option

- A

- B

- C

- D

- A
- Q50MCQ3 Marks·Choose one option

- A

- B

- C

- D

- A
- Q51MSQ3 Marks·Choose all correct options

- AA is a Hermitian matrix.
- BA is a unitary matrix.
- CAll eigenvalues of A are not real.
- DEigenvectors corresponding to different eigenvalues of A are not orthogonal.
- Q52MSQ3 Marks·Choose all correct options

- A

- B

- C

- D

- A
- Q53NAT3 Marks·Write the number
Your answer: Read the passage below, then answer Q54–Q56

Based on the above data, answer the given subquestions.
Q54MCQ3 Marks·Choose one optionWhich of the following options is/are true?
- A

- B

- C

- D

- A
- Q55MCQ3 Marks·Choose one option
Which of the following options is/are true ?
- A

- B

- C

- D

- A
- Q56MCQ2 Marks·Choose one option
Which of the following options is true?
- A

- B

- C

- D

- A
Read the passage below, then answer Q57–Q59

Based on the above data, answer the given subquestions.
Q57MCQ2 Marks·Choose one optionThe sample covariance matrix C for the given dataset is
- A

- B

- C

- D

- A
- Q58MCQ2 Marks·Choose one option
The eigenvalues of the covariance matrix are
- A

- B

- C

- D

- A
- Q59MCQ3 Marks·Choose one option
The first principal component is
- A

- B

- C

- D

- A
End Term · 13 Apr 2025 (FN)End Term
- Q60MCQ3 Marks·Choose one option

- A

- B

- C

- D

- A
- Q61MSQ3 Marks·Choose all correct options
Which of the following is true about the singular value decomposition (SVD)?
- A

- B

- C

- D

- A
- Q62MSQ3 Marks·Choose all correct options
In the context of Principal Component Analysis (PCA), which of the following statements is/are correct?
- APCA projects the original data onto a lower-dimensional subspace that captures the maximum variance.
- BThe eigenvectors of the covariance matrix correspond to the directions of maximum variance.
- CThe principal components form a basis that is not necessarily orthogonal.
- DThe principal components obtained through PCA are always uncorrelated.
- Q63MSQ3 Marks·Choose all correct options

- A

- B

- C

- D

- A
- Q64MSQ3 Marks·Choose all correct options
Which of the following statements about convex sets are true?
- A

- B

- C

- D

- A
- Q65MSQ3 Marks·Choose all correct options
Which of the following options is / are true ?
- A

- B

- C

- D

- A
- Q66MSQ4 Marks·Choose all correct options

- A

- B

- C

- D

- A
- Q67NAT3 Marks·Write the number
Your answer: - Q68NAT3 Marks·Write the number
Your answer: - Q69NAT2 Marks·Write the number
Your answer: - Q70NAT2 Marks·Write the number
Your answer: Read the passage below, then answer Q71–Q73

Based on the above data, answer the given subquestions.
Q71MSQ2 Marks·Choose all correct optionsWhich of the following statements correctly represents the Karush-Kuhn-Tucker (KKT) conditions for the given optimization problem?
- A

- B

- C

- D

- A
- Q72MSQ3 Marks·Choose all correct options
Which of the following statements are correct based on the KKT conditions and the solution to the optimization problem?
- A

- B

- C

- D

- A
- Q73NAT3 Marks·Write the number
Your answer:
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Official answer keys from IIT Madras BS past papers. Click any question to review.
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Master Answer Key & Explanations
Official answer keys from IIT Madras BS past papers. Click any question to review.