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MLF End Term: 21 December 2025 (September 2025 term)

Question 1

+3 marksOne correct option

Consider the function defined as . For what values of is convex

  1. A

    —

  2. B

    —

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

Question 2

+4 marksOne correct option

A real estate company wants to create a model to predict house prices based on the size of the house. They collect data from three recent sales. There are two features: size (hundreds of sq ft) and number of bedrooms. The data-matrix and the price vector (in hundreds of thousands of rupees) are:

The objective is to find the weight vector that minimizes the sum of squared errors given by the loss function:

If is the value that minimizes , then which of the following is ?

A real estate company wants to create a model to predict house prices based on the size of the house. They collect data
A real estate company wants to create a model to predict house prices based on the size of the house. They collect data
  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

Question 3

+3 marksOne or more correct options

Consider

Which of the following is/are true

Consider

Select all that apply.

  1. A

    is Hermitian.

  2. B

    is unitary.

  3. C

    is positive semi-definite.

  4. D

    is positive definite.

  5. E

    is invertible.

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More on the MLF End Term 21 Dec 2025 paper

The IIT Madras BS Machine Learning Foundations (MLF) End Term paper sat on 21 Dec 2025, in the September 2025 term: 38 questions for 86 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 21 Dec 2025 at a glance
TermSeptember 2025 term
SubjectMachine Learning Foundations
Course codeBSCS2004
Questions38
Marks86
Duration180 min
MCQ15
MSQ4
Written19
Official paperMachine Learning Foundations 18 Dec 25
Negative markingNo negative marking.
Updated

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