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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 }

State the difference between the expected value and mean value?

343


Explain neural networks?

1228


What is dimensionality reduction?

88


How do you approach model selection and hyperparameter tuning?

84


Which is used to compressed gasses to drive (power) the robot ?

1644


What is Neural Network ?

5


What is a seq2seq model?

138


Can you define a/b testing?

310


What are your favorite data visualization tools?

110


What is column storage? What is a document database?

396


What are application domains of computer vision?

933


List some opensource libraries for nlp?

810


Explain auto-encoder

327


Explain the difference between bayesian and frequentist?

106


How does regulation compliance enhance trust in AI systems?

1