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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Is coding required for machine learning?

76

Which language is better for machine learning r or python?

95

Why is python so popular in machine learning?

71

Can r be used for machine learning?

94

What is naive bayes in machine learning?

75

Is naïve bayes a supervised or unsupervised method?

106

Do I need to learn python for machine learning?

97

What is the difference between bayes and naive bayes?

123

What is machine learning example?

66

How much do ai programmers make?

225

What language does google use for machine learning?

85

How does a classifier work?

75

Why machine learning is popular now?

75

Why is naive bayes used for text classification?

149

What is regression in machine learning with example?

91


Un-Answered Questions { Artificial Intelligence }

What is the significance of tf-idf?

740


How does AI contribute to drug discovery?

67


Why is machine learning important?

123


Why is data governance critical in managing LLMs?

34


What is a linear regression in data science?

300


Explain the most common types of machine learning task?

78


What is conditional probability explain with an example?

97


How is Generative AI used in healthcare?

27


Can you explain the difference between discriminative and generative models?

30


What is the curse of dimensionality? Can you list some ways to deal with it?

115


Describe a scenario where AI could predict health outcomes for a patient.

54


What jupyter used?

264


What is the way of dealing with “exploding gradient” problem in rnns?answer: gradient clipping, the gradient is set to the threshold. Gradient clipping will chop the gradients or restricts them to a threshold value to prevent the gradients from getting too large.

857


What is the difference between Entropy and Information Gain?

124


Can you use a generator to create iterators?

359