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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Can you define data reduction?

 74

Can you define convex hull?

 91

Can you explain recommender system?

 95

Can you explain data preparation?

 100

Can you define a/b testing?

 82

What cross validation technique would you use on time series data set? Is it k-fold or loocv?

 88

Can you explain interpolation and extrapolation?

 112

Can you explain difference between data modeling and database design?

 116

Explain while working on a data set, how do you select important variables?

 111

Explain how can you assess a good logistic model?

 83

Define cluster sampling?

 84

Explain data munging?

 95

Explain root cause analysis?

 90

How is true positive rate and recall related?

 78

Explain the differences between bivariate and multivariate analysis?

 106

Un-Answered Questions { Artificial Intelligence }

Tell us what do you think of our current data process?

34

When do you need to update the algorithm in data science?

89

Explain eager execution?

3

how to use dmx-the data mining query language?

27

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

50




What is the difference between bayes and naive bayes?

88

How have you overcome a barrier to finding a solution?

87

How will you cut a circular cake into 8 equal pieces?

109

What is the difference between Stack and Queue

142

What are best graduate schools for ai?

515

Please explain the goal of a/b testing.

91

What do you understand by linear regression and logistic regression?

136

Please explain eigenvectors and eigenvalues?

83

Given a series of positive integers. Design an efficient algorithm that can detect pairs whose sum is equal to K such that K = ei + ej, and (i not equal to j).

563

What is machine learning and how does it relate to ai?

77

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