Quiz Space

MLF End Term: 10 May 2026, Set 2 (January 2026 term)

Question 1

+2 marksOne correct option

Let formula . That is, formula is distributed uniformly over formula . Define formula . Which of the following is true regarding the random variable formula ?

  1. A
    Option figure from the original question paper
  2. B
    Option figure from the original question paper
  3. C
    Option figure from the original question paper
  4. D
    Option figure from the original question paper

Question 2

+3 marksOne correct option

Consider two functions formula and formula given by: formula Which of the following is true?

  1. A

    Both

    Formula from the original question paper

    and

    Formula from the original question paper

    are convex

  2. B

    Only

    Formula from the original question paper

    is convex

  3. C

    Only

    Formula from the original question paper

    is convex

  4. D

    Neither

    Formula from the original question paper

    nor

    Formula from the original question paper

    is convex

Question 3

+3 marksOne or more correct options

Find all square matrices formula from the given options for which formula is given as: formula where formula .

Select all that apply.

  1. A
    Figure from the original question paper
  2. B
    Figure from the original question paper
  3. C
    Figure from the original question paper
  4. D
    Figure from the original question paper

11 more questions in this paper

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More on the MLF End Term 10 May 2026 Set 2 paper

The IIT Madras BS Machine Learning Foundations (MLF) End Term paper sat on 10 May 2026, in the January 2026 term, set 2: 14 questions for 40 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.

FeatureMLF End Term 10 May 2026 Set 2 at a glance
TermJanuary 2026 term
SubjectMachine Learning Foundations
Course codeBSCS2004
Questions14
Marks40
Duration180 min
MCQ2
MSQ4
Numerical8
Official paperMachine Learning Foundations 06 May 26
Negative markingNo negative marking.
Updated

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