NPTEL Fundamentals of Artificial intelligence Week 10 Assignment Answers 2024

1. Of the two strands of Artificial Intelligence activity, the one that seeks to understand how intelligent behaviour arises is the ____________.

A. Cognitive approach.
B. Engineering approach.
C. Machine Learning approach.
D. Symbolic approach.

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2. ____________ is the approach for modeling the relationship between a scalar dependent variable Y and one or more explanatory variables (or independent variables) denoted X.

A. Regression
B. Classification
C. Clustering
D. Matching

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3. In pure inductive inference, given a collection of examples of f, return a function h that approximates f. The function h is called a ____________.

A. utility function.
B. hypothesis
C. approximation function
D. classifier

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4. Which of the following statements are correct for Machine Learning vis-à-vis Statistics?

I. Machine learning deals with low-dimensional data [e.g. less than 100 D].
II. Structure in the data; methods involve figuring out a way to represent this structure.

A. Statements I and II
B. Only Statement II
C. Only Statement I
D. None.

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5. A decision-tree learning system for real-world applications must be able to handle the following problems:

A. Missing Data
B. Approximation
C. Continuous-valued attribute
D. Multivalued attribute

Answer :-

6. Assertion: For implementing choose-attribute in DTL (Decision Tree Learning) algorithm, one exploits Information Theory to measure the expected amount of information provided by the attribute.
Reason: Information Theory provides a mathematical basis for measuring the information content.
Mark the correct choice as

A. Both A and R are true and R is the correct explanation for A
B. Both A and R are true but R is not the correct explanation for A
C. A is True but R is False
D. A is false but R is True

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7. Assertion: Overfitting makes use of irrelevant attributes to distinguish between samples that have no meaningful differences.
Reason: The presence of irrelevant attributes may lead to more degrees of freedom in the decision tree.
Mark the correct choice as

A. Both A and R are true and R is the correct explanation for A
B. Both A and R are true but R is not the correct explanation for A
C. A is True but R is False
D. A is false but R is True

Answer :-

8. Assertion: All knowledge accrues through a process of learning.
Reason: Learning refers to the capability of autonomous acquisition and integration of knowledge.
Mark the correct choice as

A. Both A and R are true and R is the correct explanation for A
B. Both A and R are true but R is not the correct explanation for A
C. A is True but R is False
D. A is false but R is True

Answer :-

9. For a learning agent ___________ provides ways and means of weighing up the desirability of goals and the likelihood of achieving them.

A. Decision Theory
B. Utility Theory
C. Probability Theory
D. Bayesian Networks

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10. Although the three ML paradigms – Supervised, Unsupervised and Reinforcement Learning help to organize ideas; much current research involves blends across these categories. __________learning makes use of unlabeled data to augment labeled data in a supervised learning context.

A. Active
B. Unsupervised
C. Semisupervised
D. Reinforcement