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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

What is the purpose of a classifier?

65

What are classification problems in machine learning?

92

Is bayesian statistics useful?

165

What are the most common types of machine learning task?

82

Is r better than python for machine learning?

124

Which is the best language for machine learning?

83

What is naive bayes used for?

76

Is it better to learn python or r?

91

Why classification is important in machine learning?

96

What is the objective of machine learning?

195

What is svm algorithm?

135

Is python the best language for machine learning?

142

How does naive bayes classifier work in machine learning?

83

Can naive bayes be used for multiclass classification?

86

What are the different types of classifiers?

101


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

Do you think that treating a categorical variable as a continuous variable would result in a better predictive model?

89


How will you explain machine learning to a layperson in an easily comprehensible manner?

53


What is svm algorithm?

135


Tell us why is “naive” bayes naive?

70


When does regularization become necessary in machine learning?

202


What is unsupervised learning?

76


What is supervised versus unsupervised learning?

86


Explain how do you think google is training data for self-driving cars?

151


Tell us what is decision tree classification?

187


Tell us what kind of problems does regularization solve?

78


Can you explain what is the difference between inductive machine learning and deductive machine learning?

144


What sentiment analysis?

77


What is feature engineering?

67


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

194


Do you know what is kernel svm?

79