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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

Why naïve bayes is called naïve?

107

What are the 3 types of ai?

100

Explain the objective of machine learning?

111

Explain the machine learning techniques?

112

Explain the types of machine learning?

101

What is regression in machine learning?

178

Explain the difference between machine learning and regression?

84

What is conditional probability?

95

Explain the difference between bayes and naive bayes?

150

How bayes theorem is useful in a machine learning context?

100

What are the classification problems in machine learning?

159

Explain why is naive bayes better than decision tree?

73

Explain the benefit of naive bayes in machine learning?

103

Why naive bayes is called naive?

90

Explain the difference between bayesian and frequentist?

108


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

What is bias and variance in a Machine Learning model?

253


What is roc?

108


What are the similarities & difference between machine learning and human learning?

87


Explain the benefit of naive bayes mcq?

84


What is the Model Building in Machine Learning?

144


Why do we convert categorical variables into factor? Which function is used in r to perform the same?

117


Which classifier is best in machine learning?

98


What do you mean by ensemble learning?

120


What is the trade-off between bias and variance?

73


What are the three stages of building the hypotheses or model in machine learning?

91


Can naive bayes be used for multiclass classification?

90


What sentiment analysis?

79


Tell us what is the difference between supervised and unsupervised machine learning?

70


What is PAC Learning?

115


How machine learning is deployed in real world scenarios?

96