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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Can you explain how do you handle missing or corrupted data in a dataset?

99

Why machine learning?

83

Why is naive bayes so naive?

95

What is roc?

106

What are the best python libraries used in machine learning?

227

What are the best public data sets for machine learning?

84

What is pruning in decision trees?

118

What is data pre-processing technique for machine learning?

72

What is data structure? And what are the different types of data structures supported in r programming?

113

What is data augmentation in ml?

105

What is feature scaling?

78

What is type I vs type ii error?

348

What sentiment analysis?

79

Can you explain bias-variance trade-off?

126

What is batch normalization?

98


Un-Answered Questions { Artificial Intelligence }

What graphics card is best?

1


What is churn? How would it help predict and control churn for a customer?

364


What is variables in tensorflow ?

5


What frameworks can you use for ethical AI development?

79


How can AI improve administrative processes in educational institutions?

78


What is the cost function?

5


What is quantum optimization?

68


What is the use of leaky relu function?

1


How can you detect bias in AI models?

77


How does regulation compliance enhance trust in AI systems?

1


Explain how useful and reliable bayes’ theorem is according to you in the machine learning context?

1


What is syntax natural language processing terminology?

871


What role does explainability play in mitigating bias?

1


Which is the best language for machine learning?

85


What’s the difference between a generative & discriminative model?

862