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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Compare and contrast CNNs and RNNs.

55

Imagine you're building a model for loan approvals. How do you make sure it doesn't discriminate?

56

How do you ensure that your models are fair and unbiased?

62

Describe different approaches to text-to-speech (TTS) synthesis?

64

Discuss the differences between Bayesian Networks and Markov Models.

63

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

57

What are some common NLP tasks?

65

What is the vanishing gradient problem in deep learning?

64

Explain the concept of backpropagation.

58

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

64

Describe different methods for model interpretability.

54

How can AI be used to improve weather prediction?

65

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

61

What is the relationship between AI and cognitive science?

61

How would you build a simple classification model?

61


Un-Answered Questions { Artificial Intelligence }

Why do you want to work as a data scientist?

259


How does machine learning differ from deep learning?

63


What is Edge AI?

61


What is the significance of AI applications across industries?

51


How will inspect missing data and when are they important for your analysis?

341


What are the applications of deep learning?

1


What are the advantages of fuzzy logic systems?

961


Which technology uses miniaturized accelerometers and gyroscopes? a) Sensors b) Actuators c) MEMS d) None of the mentioned

1875


What jupyter used?

259


How do you enforce data governance in Generative AI projects?

29


Explain statistical perspective in data mining?

167


How machine learning is deployed in real world scenarios?

84


Tell me how is knn different from k-means clustering?

84


How does AI enable autonomous vehicles to make decisions in real-time?

54


What is convex hull?

118