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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Can you define power analysis?

 109

How do you treat missing values during analysis?

 97

Can you explain collaborative filtering?

 113

Which one would you prefer for text analytics python or r?

 105

What are the major skills data scientist need?

 88

In k-means or knn, we use euclidean distance to calculate the distance between nearest neighbors. Why not manhattan distance?

 164

Can you explain cross-validation?

 82

Can you explain data cleansing?

 91

What is the difference between an analyst and a data scientist?

 92

What do you understand by type I vs type ii error?

 97

Can you explain supervised learning?

 98

How do you understand by bias variance trade off?

 89

Can you explain data munging or data wrangling?

 98

What is difference between sas, r and python programming?

 94

Can you define feature vector?

 93

Un-Answered Questions { Artificial Intelligence }

When to use ensemble learning?

79

What do you mean by word data science?

112

Is r better than python for machine learning?

87

What is data pre-processing technique for machine learning?

50

Explain a Computational Graph.

5




Do you think that deep network is better than a shallow one?

1

What are the several flavors?

523

What is a histogram dashboard?

1

How To Handle Or Missing Data In A Dataset?

75

Are expected value and mean value different?

128

What do you know about autoencoders?

115

Tell me what is a recommendation system?

50

What is class-imbalanced dataset in machine learning?

81

What is Machine learning?

52

Who is concerned with nns?

812

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