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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 }

How to decide one problem is a machine learning problem or not?

194


Why is transparency important in AI development?

1


What is churn?

322


What are the terminologies of nlp?

824


The game of Poker is a single agent. a) True b) False

6333


How can financial institutions address biases in AI algorithms?

91


What do you think of our current data process?

70


What are the different deep learning frameworks?

354


Can you discuss the impact of AI on the job market in these sectors?

78


What is encoder in deep learning?

5


What is naive bayes classifier?

126


What are best graduate schools for artificial intelligence?

925


What are some common applications of chatbots and virtual assistants?

75


Explain the Canny's Algorithm.

988


Differentiate supervised and unsupervised deep learning procedures.

1