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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

How bayes theorem is useful in a machine learning context?

94

What are the classification problems in machine learning?

151

Explain why is naive bayes better than decision tree?

70

Explain the benefit of naive bayes in machine learning?

99

Why naive bayes is called naive?

86

Explain the difference between bayesian and frequentist?

101

Explain the purpose of machine learning?

73

Explain the 3 types of ai?

124

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?

154

Explain the purpose of a classifier?

78

What is the use of naive bayes?

96

Explain how does naive bayes classifier work in machine learning?

102


Un-Answered Questions { Artificial Intelligence }

What is the purpose of a/b testing?

296


What are best graduate schools for ai?

941


List some areas of nlp?

727


What is meant by classical ANOVA?

370


Can titan v do ray tracing?

1


What is the law of large numbers?

299


What is the Applying the model in Machine Learning?

127


Though local search algorithms are not systematic, key advantages would include a) Less memory b) More time c) Finds a solution in large infinite space d) No optimum solution

2159


What is k-means? How can you select k for k-means?

304


What steps would you take to build a recommendation system with Generative AI?

1162


what’s a fourier transform?

105


Explain when should you use classification over regression?

77


What is the classifier in machine learning?

96


What are the drawbacks of the linear model?

310


How make you 3d plots/visualizations using numpy/scipy?

349