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MLT End Term: 1 September 2024, Set QDF3 (May 2024 term)

Question 1

+2 marksOne correct option
  1. A
  2. B
  3. C
  4. D

Question 2

+3 marksOne correct option

The covariance matrix of a mean centered dataset in R3\mathbb{R}^3 is:

C=[2.500.50100.502.5]\mathbf{C} = \begin{bmatrix} 2.5 & 0 & 0.5 \\ 0 & 1 & 0 \\ 0.5 & 0 & 2.5 \end{bmatrix}

Standard PCA is performed on this dataset. If the first principal component is w1=[−1/20−1/2]\mathbf{w}_1 = \begin{bmatrix} -1/\sqrt{2} \\ 0 \\ -1/\sqrt{2} \end{bmatrix}, which of the following is the variance along w1\mathbf{w}_1?

  1. A

    1

  2. B

    2

  3. C

    3

  4. D

    6

Question 3

+3 marksOne correct option
  1. A
  2. B
  3. C
  4. D

27 more questions in this paper

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More on the MLT End Term 1 Sept 2024 Set QDF3 paper

The IIT Madras BS Machine Learning Techniques (MLT) End Term paper sat on 1 Sept 2024, in the May 2024 term, set QDF3: 30 questions for 50 marks in 180 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.

FeatureMLT End Term 1 Sept 2024 Set QDF3 at a glance
TermMay 2024 term
SubjectMachine Learning Techniques
Course codeBSCS2007
Questions30
Marks50
Duration180 min
MCQ14
MSQ2
Numerical14
Official paperIIT M FOUNDATION DIPLOMA AN EXAM QDF3 01 Sep 2024
Negative markingNo negative marking.
Updated

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