Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

How do you treat multicollinearity and heteroscedasticity in regression?

113

What is logistic and linear regression? How do you treat multicollinearity and heteroscedasticity in regression?

84

What is an api?

94

What is nosql? Name some examples of nosql databases.

124

How do you build a custom function in python or r?

116

What is missing value imputation?

124

Define a sql query? What is the difference between select and update query? How do you use sql in sas, python, r languages?

99

How do you check for data quality?

107

What is advantage of using apply family of functions in r? How do you use lambda in python?

107

What is column storage? What is a document database?

128

What is association analysis? Where is it used?

99

How do you use goal seek in excel?

107

What is chi square test?

106

What is churn?

111

Where is association analysis used?

115


Un-Answered Questions { Artificial Intelligence }

What was deep learning?

1


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

1


How is true positive rate and recall related?

76


What is data standardization in ml?

98


What is ai backgammon?

556






What is a linear regression?

95


Explain me what is machine learning?

55


What approach will you follow to develop the love,like, sad feature on Facebook?

148


Give an explanation of collaborative filtering?

36


List down various approaches to machine learning?

51


Explain false negative, false positive, true negative and true positive with a simple example?

60


What are two techniques of Machine Learning?

83


How Does The Data Mining And Data Warehousing Work Together?

31


What are eigenvalue and eigenvector?

122


How will you impute missing information in a dataset?

117