Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What is data scientist?

139

What is the advantage of performing dimensionality reduction before fitting an svm?

94

How is true positive rate and recall related? Write the equation.

97

Can you define data discretization?

79

What are the applications of data science?

127

What is the difference between data science, machine learning and artificial intelligence?

111

Can you define cluster sampling?

91

Can you explain systematic sampling?

102

Can you define linear regression?

96

Can you define analytics?

93

What is the differences between univariate, bivariate and multivariate analysis?

129

Can you explain root cause analysis?

88

Can you write the formula to calculate r-square?

101

Can you explain k-mean?

84

Why is data munging useful?

90


Un-Answered Questions { Artificial Intelligence }

Is naive bayes a supervised or unsupervised method?

53


What is the difference between inductive machine learning and deductive machine learning?

53


Definition of ai single agent pathfinding problems?

494


What is the use of naive bayes?

68


What is the central limit theorem and why is it important?

94






Why is naive bayes used for text classification?

80


What are the types of business decisions?

99


Why data cleansing is important in data analysis?

63


What is Overfitting? And how do you ensure you’re not overfitting with a model?

50


What is the trade-off between bias and variance?

43


What is bias-variance trade-off in machine learning?

68


What is meta learning?

49


Explain difficulties in natural-language understanding?

524


What is latent semantic indexing? Where it is applied.

469


What is relu function?

1