JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD B.Tech III FOUNDATIONS OF ARTIFICIAL INTELLIGENCE Previous Question Paper (January/February - 2023 - R18)
i) Question paper consists of Part A, Part B.
ii) Part A is compulsory, which carries 25 marks. In Part A, Answer all questions.
iii) In Part B, Answer any one question from each unit. Each question carries 10 marks and may have a, b as sub questions.
Part A
What is meant by Procedural knowledge?
Answer
Procedural knowledge refers to the 'how-to' knowledge, representing information about how to perform specific tasks or solve problems. It focuses on the sequence of operations or rules required to achieve a goal rather than just the factual description of the domain.
Write down the applications of AI.
Answer
Key applications of AI include:
- Natural Language Processing (NLP) for translation and chatbots.
- Computer Vision for image recognition and medical imaging.
- Robotics for autonomous navigation and manufacturing.
- Expert systems for decision support and diagnostics.
- Predictive analytics for finance and demand forecasting.
Define Regression.
Answer
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Discuss about Matrix Theory.
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Define Gradient Decent.
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Write about Cost Function.
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What is Logistic Regression?
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Define Overfitting issues.
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How is clustering different from classification?
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What are the major steps to measure similarities of data?
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Part B
What is the significance of knowledge representation? Give an example.
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Write a note on predicates and computable functions.
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Discuss briefly about AI techniques, in detail.
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What is machine learning? Explain supervised learning and unsupervised learning.
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"Learning is the most important characteristic of Intelligence" Justify with statement.
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Describe briefly about Gradient Decent for Linear Regression.
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Explain about Single variable Cost Function, in detail.
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Discuss briefly about Hypothesis Representation.
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Explain about Decision Boundary, in detail.
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What is clustering? Describe any two algorithms used to implement clustering.
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Explain Bayesian method of reasoning.
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