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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Compare and contrast CNNs and RNNs.

73

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

77

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

101

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

111

Discuss the differences between Bayesian Networks and Markov Models.

104

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

81

What are some common NLP tasks?

98

What is the vanishing gradient problem in deep learning?

94

Explain the concept of backpropagation.

93

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

103

Describe different methods for model interpretability.

82

How can AI be used to improve weather prediction?

110

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

106

What is the relationship between AI and cognitive science?

113

How would you build a simple classification model?

94


Un-Answered Questions { Artificial Intelligence }

What are the main benefits of mini-batch gradient descent?

1


Why use artificial neural networks? What are its advantages?

1217


What is an example of a data set with a non-gaussian distribution?

356


What is artificial intelligence technique?

1073


What is time series analysis?

34


What is the difference between Stack and Queue

567


How To Handle Or Missing Data In A Dataset?

216


Can you explain the concept of generative adversarial networks (GANs) and their implications for AI?

84


How do you train a model for generating creative content, like poetry?

839


Explain what are different stages of 'data mining”?

80


How can feedback loops in AI systems reinforce or mitigate bias?

1


How will you test a machine learning model for accuracy?

375


What are the classification problems in machine learning?

159


Explain how AI models predict stock market trends.

82


You are given a training dataset of users that contain their demographic details, the pages on Facebook they have liked so far and results of psychology test based on their personality i.e. their openness to like FB pages or not. How will you predict the age, gender and other demographics of unseen data?

374