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Machine Learning Foundations Quiz 1: 7 July 2024 (May 2024 term)

Question 1

+3 marksNumerical answer

Let A=(211a323bc)A = \begin{pmatrix} 2 & 1 & 1 \\ a & 3 & 2 \\ 3 & b & c \end{pmatrix} be a 3×33 \times 3 matrix. Let α\alpha be the eigenvalue corresponding to the eigenvector v1=(10−1)v_1 = \begin{pmatrix} 1 \\ 0 \\ -1 \end{pmatrix} and β\beta is the eigenvalue corresponding to the eigenvector v2=(01−1)v_2 = \begin{pmatrix} 0 \\ 1 \\ -1 \end{pmatrix} of matrix AA. Based on this information, answer the given sub-questions.

Find the value of α + 2β.

Question 2

+4 marksOne or more correct options

Let A=(211a323bc)A = \begin{pmatrix} 2 & 1 & 1 \\ a & 3 & 2 \\ 3 & b & c \end{pmatrix} be a 3×33 \times 3 matrix. Let α\alpha be the eigenvalue corresponding to the eigenvector v1=(10−1)v_1 = \begin{pmatrix} 1 \\ 0 \\ -1 \end{pmatrix} and β\beta is the eigenvalue corresponding to the eigenvector v2=(01−1)v_2 = \begin{pmatrix} 0 \\ 1 \\ -1 \end{pmatrix} of matrix AA. Based on this information, answer the given sub-questions.

Which of the following options is/are true ?

Select all that apply.

  1. A
  2. B
  3. C
  4. D

Question 3

+4 marksOne or more correct options

Which of the following options is/are true?

Select all that apply.

  1. A

    A is a symmetric matrix.

  2. B

    A is a diagonal matrix.

  3. C

    A is orthogonally diagonalizable.

  4. D

    Eigenvalues of A are -1, -1 and 2.

9 more questions in this paper

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More on the MLF Quiz 1 7 Jul 2024 paper

The IIT Madras BS Machine Learning Foundations (MLF) Quiz 1 paper sat on 7 Jul 2024, in the May 2024 term: 12 questions for 40 marks in 120 minutes. The first 3 questions are below. Sign in with Google — it is free — to see the whole paper with its answers and explanations, in learning mode or as a timed mock test.

FeatureMLF Quiz 1 7 Jul 2024 at a glance
TermMay 2024 term
SubjectMachine Learning Foundations
Course codeBSCS2004
Questions12
Marks40
Duration120 min
Numerical3
MSQ4
MCQ5
Official paperIIT M DIPLOMA AN EXAM QDD2 7 July 2024
Negative markingNo negative marking.
Updated

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