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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

How bayes theorem is useful in a machine learning context?

96

What are the classification problems in machine learning?

157

Explain why is naive bayes better than decision tree?

73

Explain the benefit of naive bayes in machine learning?

101

Why naive bayes is called naive?

88

Explain the difference between bayesian and frequentist?

106

Explain the purpose of machine learning?

75

Explain the 3 types of ai?

126

Explain the different types of classifiers?

64

Explain the importance of bayes theorem?

84

Explain the most common types of machine learning task?

80

What is classification in machine learning?

156

Explain the purpose of a classifier?

82

What is the use of naive bayes?

100

Explain how does naive bayes classifier work in machine learning?

104


Un-Answered Questions { Artificial Intelligence }

What is dimensionality reduction? Explain in detail.

117


What are the Softmax and ReLU functions?

5


What is the baseline for machine learning?

101


What is difference between sas, r and python programming?

379


Define rollup and cube?

37


How many kinds of kohonen networks exist?

1272


Name Data mining techniques?

34


Which depends on the percepts and actions available to the agent? a) Agent b) Sensor c) Design problem d) None of the mentioned

2538


Can you explain embedding in tensorflow?

3


Tell us how do you ensure you're not overfitting with a model?

167


How do you stay updated with the latest research in Generative AI?

40


Give an explanation on the difference between strong artificial intelligence and weak artificial intelligence?

889


How does Neuromorphic Computing aid in developing more efficient and adaptive AI systems?

66


Can you describe an example of how Explainable AI is used in healthcare for medical diagnosis?

89


What are the biggest challenges you see in AI implementation across industries?

78