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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

How bayes theorem is useful in a machine learning context?

92

What are the classification problems in machine learning?

149

Explain why is naive bayes better than decision tree?

68

Explain the benefit of naive bayes in machine learning?

97

Why naive bayes is called naive?

85

Explain the difference between bayesian and frequentist?

96

Explain the purpose of machine learning?

69

Explain the 3 types of ai?

122

Explain the different types of classifiers?

62

Explain the importance of bayes theorem?

81

Explain the most common types of machine learning task?

78

What is classification in machine learning?

148

Explain the purpose of a classifier?

75

What is the use of naive bayes?

94

Explain how does naive bayes classifier work in machine learning?

96


Un-Answered Questions { Artificial Intelligence }

How to understand the problems faced during data analysis?

285


What is meteorological data?

36


How can AI help automate cybersecurity tasks?

74


Name three disadvantages of using a linear model?

326


What Are Olap And Oltp?

92


How would you evaluate the performance of an NLP model?

49


You own a clothing enterprise and want to improve your place in the market. How will you do it from the ground level ?

270


What is the application of naive bayes naive in machine learning?

1


Describe graph explorer in tensorflow?

1


What is Image segmentation ? How can you do in tensorflow ?

5


Draw a flowchart to find the average of four number?

4251


What is the decision tree classification?

120


what’s a fourier transform?

103


What are applications areas of data mining?

45


Comparision between Machine Learning and Big Data?

114