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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Which classifier is best in machine learning?

94

Is naive bayes good?

116

Is machine learning jobs in demand?

58

Is python better than r?

113

Is java used for ai?

159

What do you mean by regression in machine learning?

78

Why naïve bayes is called naïve?

103

What are the 3 types of ai?

90

Explain the objective of machine learning?

100

Explain the machine learning techniques?

102

Explain the types of machine learning?

95

What is regression in machine learning?

168

Explain the difference between machine learning and regression?

72

What is conditional probability?

91

Explain the difference between bayes and naive bayes?

140


Un-Answered Questions { Artificial Intelligence }

What is encoder and decoder in machine learning?

83


A test has a true positive rate of 100% and false positive rate of 5%. There is a population with a 1/1000 rate of having the condition the test identifies. Considering a positive test, what is the probability of having that condition?

506


Explain data cleansing?

280


What is tanh function?

1


Mention the name of some methods to deal with the overfitting in tensorflow.

1


What do you understand by tensorflow estimators?

1


Can you explain the concept of generative adversarial networks (GANs) and their implications for AI?

50


Explain the k-nearest algorithm different from the knn clustering?

91


What is deep speech?

5


Name types of artificial intelligence?

911


What is regression in machine learning with example?

89


What's the f1 score? How would you use it?

57


How do you treat multicollinearity and heteroscedasticity in regression?

297


Explain p-value?

322


How can AI improve hospital resource management?

61