Learning & Reasoning in Artificial Intelligence Chapter Exam

Exam Instructions:

Choose your answers to the questions and click 'Next' to see the next set of questions. You can skip questions if you would like and come back to them later with the yellow "Go To First Skipped Question" button. When you have completed the practice exam, a green submit button will appear. Click it to see your results. Good luck!

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Question 1 1. Which of the following is true?

Question 2 2. Which of the following is extensively used in Speech Recognition Systems?

Question 3 3. What is SRM?

Question 4 4. How can SVM be classified?

Question 5 5. Which of the following nodes form a decision network when combined with a Bayes belief network ?

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Question 6 6. Decision networks are _____

Question 7 7. High entropy is an indication of:

Question 8 8. What is the purpose of machine learning?

Question 9 9. Logistic regression is:

Question 10 10. The cost function that is used in logistic regression is:

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Question 11 11. Which of the following is used to calculate probability of the nodes in a Bayesian Network if conditional probabilities are present?

Question 12 12.

Given,

P(¬A) = 0.7

P(A∧B) = 0.02

P(A∨B) = 0.3

P(B) = _____

Question 13 13. A Bayesian Network consists of _____.

Question 14 14.

Given, P(¬S) = 0.6.

P(S) = _____ ?

Question 15 15. _____ is a learning model that is used to identify a relationship between large amounts of information from a data set.

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Question 16 16. Let's say you want to group similar food items from your grocery cart into groups of canned goods, produce, and meats while unloading them onto the checkout counter. You keep doing this process until you run out of items. What is this an example of?

Question 17 17. Which of the options is not a NLP application?

Question 18 18. Deep learning allows dealing with much more information than other approaches. Mark the option that makes it interesting for NLP applications.

Question 19 19. What is a neural network?

Question 20 20. You have trained a computer vision model to recognize pictures of cats. It works very well except when shown a hairless cat, which it does not classify at all. What might be the problem?

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Question 21 21. Which of the following is used to extract information from a sound wave in Speech Recognition Systems?

Question 22 22. Complete the sentence: SVM model is based on (1)_____ the data and constructing (2)_____ between the categories obtained.

Question 23 23. While evaluating a decision network in a sequential decision problem, an agent has to look for piece of information that might or might not help in making an optimal decision. The price to be paid/lost time in seeking the information is called _____

Question 24 24. What is entropy?

Question 25 25. Consider the logistic regression model. What is the range of the sigmoid function?

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Question 26 26. Bayesian Network consists of:

Question 27 27. Which of the following is kept at each node in an Bayesian Network?

Question 28 28. What is one of the main drawbacks of using the unsupervised learning method for all situations?

Question 29 29. Which of the following machine learning algorithms is the base for deep learning?

Question 30 30. What is image classification in AI?

Learning & Reasoning in Artificial Intelligence Chapter Exam Instructions

Choose your answers to the questions and click 'Next' to see the next set of questions. You can skip questions if you would like and come back to them later with the yellow "Go To First Skipped Question" button. When you have completed the practice exam, a green submit button will appear. Click it to see your results. Good luck!

Computer Science 311: Artificial Intelligence  /  Computer Science Courses
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