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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

What is the purpose of a classifier?

69

What are classification problems in machine learning?

94

Is bayesian statistics useful?

169

What are the most common types of machine learning task?

86

Is r better than python for machine learning?

126

Which is the best language for machine learning?

85

What is naive bayes used for?

78

Is it better to learn python or r?

101

Why classification is important in machine learning?

106

What is the objective of machine learning?

197

What is svm algorithm?

141

Is python the best language for machine learning?

148

How does naive bayes classifier work in machine learning?

88

Can naive bayes be used for multiclass classification?

88

What are the different types of classifiers?

105


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

What is batch statistical learning?

152


What are the best public data sets for machine learning?

84


Why is naive bayes better than decision tree?

138


What is naive bayes in machine learning?

84


Explain the difference between L1 and L2 regularization?

135


What is a checkpoint in machine learning?

112


What is adagrad algorithm in machine learning?

106


What is data structure? And what are the different types of data structures supported in r programming?

113


What is the most frequent metric to assess model accuracy for classification problems?

143


How will you explain machine learning to a layperson?

73


What is algorithm independent machine learning?

123


What is collaborative filtering in machine learning?

162


Define a fourier transform?

100


How to choose notable variables while working on a data set?

96


Explain the difference between type I and type ii error?

67