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IIT M DIPLOMA AN2 EXAM QDD2 25 Feb 2024 - 25 Feb 2024

MLF Quiz 111 questions40 marks6 MCQ · 4 MSQ · 1 SADiploma / QDD2
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Comprehension passage - the questions below it refer to this
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Q1MCQ4 marks
Find the row space of matrix A.
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Q2MCQ3 marks
Find the column space of matrix A.
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Q3MCQ3 marks
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Q4MCQ3 marks
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  1. 2.1
  2. 2.003125
  3. 2.031
  4. 1.9968
Q5MCQ4 marks
Find the best fit line for the dataset given below using least squares method. question figure Find the best fit line for the dataset given below using least squares method.
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Q6MCQ4 marks
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Q7MSQ3 marksselect all that apply
Which of the following is/are supervised learning task(s)?
  1. Predicting future sales of a product based on the past sales data.
  2. Reducing the dimensionality of images while retaining essential features,enabling efficient storage and transmission.
  3. Recognizing and interpreting handwritten characters or words, often used indigit recognition or reading handwritten text.
  4. Categorizing text documents into predefined classes, such as spam or non-spam emails.
Q8MSQ4 marksselect all that apply
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  1. Eigenvalues of A are 1, 2, and 3.
  2. Eigenvalues of A are 1, 2, and 2.
  3. Eigenvalues of B are 2, 20, and 78.
  4. Matrix B is diagonalizable.
Q9MSQ4 marksselect all that apply
Let A and B be symmetric matrices such that AB = BA. Then which of the following options is/are true?
  1. AB is a symmetric matrix.
  2. AB is orthogonally diagonalizable.
  3. BA has real eigenvalues.
  4. AB is not a symmetric matrix.
Q10MSQ4 marksselect all that apply
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Q11SA4 marks
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Answer key

  1. Q1 (MCQ, 4 marks): B
  2. Q2 (MCQ, 3 marks): A
  3. Q3 (MCQ, 3 marks): B
  4. Q4 (MCQ, 3 marks): B
  5. Q5 (MCQ, 4 marks): B
  6. Q6 (MCQ, 4 marks): A
  7. Q7 (MSQ, 3 marks): A, C, D
  8. Q8 (MSQ, 4 marks): A, D
  9. Q9 (MSQ, 4 marks): A, B, C
  10. Q10 (MSQ, 4 marks): A, C, D
  11. Q11 (SA, 4 marks): 3.12 to 3.20

Concepts this paper tests

Auto-generated summary from the source site. Handy as a checklist; the lessons above explain each idea from scratch.

Summary of Core Topics, Concepts, Principles, and Equations

1. Linear Algebra

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2. Calculus

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3. Machine Learning

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4. Differential Equations and Functions

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