Discuss the differences between Bayesian Networks and Markov Models.

37

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How would you approach the design of an AI agent that is ethical by design?

35

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What are some common NLP tasks?

34

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What is the vanishing gradient problem in deep learning?

35

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Explain the concept of backpropagation.

28

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How do you deal with ambiguity in requirements when developing AI applications?

34

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Describe different methods for model interpretability.

30

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How can AI be used to improve weather prediction?

36

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Describe a challenging AI project you worked on. What were the key learnings?

35

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What is the relationship between AI and cognitive science?

31

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How would you build a simple classification model?

36

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What are the challenges of building and using quantum computers for AI?

34

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Are there any practical applications of Quantum AI today?

33

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What is your understanding of Artificial Intelligence?

26

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What are the benefits of using AI-powered intelligent tutoring systems?

33

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