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MLT End Term: 22 December 2024, Set QDF1 (September 2024 term)

Question 1

+2 marksNumerical answer

NOTE: Enter the answer correct to one decimal place

Question 2

+3 marksNumerical answer

Consider a dataset of 200 points where the ii-th data point is given by:

xi=ai⋅[3102]+bi⋅[1030],\mathbf{x}_i = a_i \cdot \begin{bmatrix} 3 \\ 1 \\ 0 \\ 2 \end{bmatrix} + b_i \cdot \begin{bmatrix} 1 \\ 0 \\ 3 \\ 0 \end{bmatrix},

where aia_i and bib_i are real numbers such that

∑i=1200ai=∑i=1200bi=0.\sum_{i=1}^{200} a_i = \sum_{i=1}^{200} b_i = 0.

Standard PCA is performed on this dataset. If the top two principal components are retained and used to reconstruct the dataset, what is the reconstruction error?

Also asked in End Term 22 Dec 2024

Question 3

+3 marksNumerical answer

A train running between two stations A and B will be late on any day by a random amount XX, where X∼Uniform[0,θ]X \sim \text{Uniform}[0, \theta]. Suppose the train is late by random amounts (in minutes)

10,55,17,20,49,51,15,4,32,3510, 55, 17, 20, 49, 51, 15, 4, 32, 35

independently on 10 days. Consider a Uniform[0,60]\text{Uniform}[0, 60] prior for the parameter θ\theta. Find the maximum aposteriori (MAP) estimate of θ\theta.

Recall that θ^MAP=arg⁡max⁡θ f(θ∣{X1,…,Xn})\hat{\theta}_{MAP} = \underset{\theta}{\arg\max}\ f(\theta \mid \{X_1, \ldots, X_n\}), where ff is the posterior distribution.

19 more questions in this paper

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More on the MLT End Term 22 Dec 2024 Set QDF1 paper

The IIT Madras BS Machine Learning Techniques (MLT) End Term paper sat on 22 Dec 2024, in the September 2024 term, set QDF1: 22 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 22 Dec 2024 Set QDF1 at a glance
TermSeptember 2024 term
SubjectMachine Learning Techniques
Course codeBSCS2007
Questions22
Marks50
Duration180 min
Numerical12
MCQ7
MSQ3
Official paperIIT M FOUNDATION DIPLOMA AN EXAM QDF3 22 Dec 2024
Negative markingNo negative marking.
Updated

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