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Machine Learning Foundations Quiz 1: 19 July 2026 (May 2026 term)

Question 1

+3 marksOne correct option

What is the best linear approximation of around

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    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

Question 2

+3 marksOne correct option

A company manufactures a special rectangular metal sheet. The production cost (in hundreds of rupees) depends on its length meters and width meters according to . At a particular stage, the dimensions of the sheet are . The company plans to change the dimensions in the direction represented by the vector

and wants to determine how rapidly the production cost changes in that specific direction. Find the directional derivative of at the point in the direction of .

A company manufactures a special rectangular metal sheet. The production cost (in hundreds of rupees) depends on its len
  1. A

    —

  2. B

    —

  3. C
    Figure from the original question paper
  4. D
    Figure from the original question paper

Question 3

+3 marksOne correct option

Find the projection matrix that projects the plane onto the line .

  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 Quiz 1 19 Jul 2026 paper

The IIT Madras BS Machine Learning Foundations (MLF) Quiz 1 paper sat on 19 Jul 2026, in the May 2026 term: 14 questions for 41 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 19 Jul 2026 at a glance
TermMay 2026 term
SubjectMachine Learning Foundations
Course codeBSCS2004
Questions14
Marks41
Duration120 min
MCQ5
MSQ4
Written5
Official paperMachine Learning Foundations 16 Jul 26
Negative markingNo negative marking.
Updated

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