Quiz Space

Machine Learning Techniques End Term: 3 April 2022 (January 2022 term)

Question 1

+2 marksOne correct option

Which of the following statements are true regarding discriminative models?
1. They use probability distributions for modeling the underlying data generation process. 2. They learn separators between classes, instead of learning the underlying data generation process
3. Logistic regression is an example of a discriminative model.

  1. A

    1 and 2

  2. B

    1,2 and 3

  3. C

    2 and 3

  4. D

    1 and 3

Question 2

+2 marksOne correct option

Abhinandan is a Lionel Messi fan. He wants to predict the number of goals Messi will score in each of the next 4 matches of coming champions league based on the goals scored by him in previous tournaments. This problem can be classified as a:

  1. A

    Single label Regression

  2. B

    Single label Classification

  3. C

    Multi label Regression

  4. D

    Multi label classification

Question 3

+2 marksOne correct option

The loss function used in the case of softmax classification is:

  1. A

    binary cross entropy

  2. B

    categorical cross entropy

  3. C

    negative log likelihood

  4. D

    gradient descent

37 more questions in this paper

Sign in with Google — it is free — to see every question with its answer and explanation, practise it in learning mode, or take it as a timed mock test.

More on the MLT End Term 3 Apr 2022 paper

The IIT Madras BS Machine Learning Techniques (MLT) End Term paper sat on 3 Apr 2022, in the January 2022 term: 40 questions for 100 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 3 Apr 2022 at a glance
TermJanuary 2022 term
SubjectMachine Learning Techniques
Course codeBSCS2007
Questions40
Marks100
Duration180 min
MCQ18
Numerical13
MSQ9
Official paperIIT M FOUNDATION DIPLOMA ENDTERM AN1 3 Apr 2022
Negative markingNo negative marking.
Updated

Same End Term, other subjects

More MLT