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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Which classifier is best in machine learning?

98

Is naive bayes good?

127

Is machine learning jobs in demand?

64

Is python better than r?

117

Is java used for ai?

168

What do you mean by regression in machine learning?

82

Why naïve bayes is called naïve?

105

What are the 3 types of ai?

94

Explain the objective of machine learning?

109

Explain the machine learning techniques?

110

Explain the types of machine learning?

101

What is regression in machine learning?

176

Explain the difference between machine learning and regression?

79

What is conditional probability?

95

Explain the difference between bayes and naive bayes?

146


Un-Answered Questions { Artificial Intelligence }

Tell me what is a recommendation system?

180


Explain true positive, true negative, false positive, and false negative in confusion matrix with an example.

88


Explain what is the function of ‘Supervised Learning’?

91


What is an Incremental Learning algorithm in ensemble?

103


Explain mining single ?dimensional boolean associated rules from transactional databases?

28


Define A HashTable in Machine Learning?

77


What are activation functions and why are they used in neural networks?

85


What is morpheme nlp terminology?

873


What is a swish function?

1


What is classification and regression in machine learning?

201


What is model interpretability, and why is it important?

83


Define data discretization?

294


What are the main benefits of mini-batch gradient descent?

1


Tell us why is “naive” bayes naive?

72


Can you define linear regression?

317