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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?

66

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?

66

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 }

How does AI optimize route planning and navigation?

76


Why do you want to work as a data scientist?

260


What do you understand by term hash table collisions?

266


What are some techniques to improve LLM performance for specific use cases?

32


What is meta learning?

51


Which client languages are supported in tensorflow?

1


How is data science different from data analytics?

306


How many kinds of kohonen networks exist?

1192


What is cluster sampling?

374


What are the common ways to handle missing data in a dataset?

109


how to use dmx-the data mining query language?

31


Which technique will you use to compare the performance of two back-end engines that generate automatic friend recommendations on Facebook?

407


Explain Classification and Regression?

163


List the different algorithm techniques in machine learning?

844


What are some common types of AI-powered threat detection systems?

65