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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

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?

138

How bayes theorem is useful in a machine learning context?

92

What are the classification problems in machine learning?

149

Explain why is naive bayes better than decision tree?

68

Explain the benefit of naive bayes in machine learning?

97

Why naive bayes is called naive?

85

Explain the difference between bayesian and frequentist?

96


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

What is Training set in machine learning?

208


List down various approaches for machine learning?

63


What is a fourier transform?

97


What is ‘Training set’ and ‘Test set’?

95


What are the basics of machine learning?

88


Explain the difference between type I and type ii error?

61


Logistic regression gives probabilities as a result then how do we use it to predict a binary outcome?

63


Who invented machine learning?

98


Explain machine learning in to a layperson?

81


Tell me how is knn different from k-means clustering?

84


Can you explain rescaling data technique in data pre-processing?

91


How do you choose an algorithm for a classification problem?

94


What is the difference between inductive machine learning and deductive machine learning?

132


How do I become a machine learning scientist?

102


Which one would you prefer to choose – model accuracy or model performance?

175