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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

What is the purpose of a classifier?

71

What are classification problems in machine learning?

97

Is bayesian statistics useful?

175

What are the most common types of machine learning task?

94

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?

108

What is the objective of machine learning?

203

What is svm algorithm?

141

Is python the best language for machine learning?

148

How does naive bayes classifier work in machine learning?

94

Can naive bayes be used for multiclass classification?

90

What are the different types of classifiers?

119


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

Tell us which one would you prefer to choose – model accuracy or model performance?

102


What do you understand by cluster sampling?

60


Mention the difference between Data Mining and Machine learning?

136


How is KNN different from K-means clustering?

126


What do you mean by parametric models?

93


Tell us which do you think is more important: model accuracy or model performance?

73


How will you design an email spam filter?

204


What are the best public data sets for machine learning?

86


What is svm in machine learning? What are the classification methods that svm can handle?

227


Is it better to have too many false positives or too many false negatives? Explain.

78


Explain how is knn different from k-means clustering?

127


Explain the most common types of machine learning task?

82


What is Overfitting? And how do you ensure you’re not overfitting with a model?

111


What is classification and regression in machine learning?

205


What is conditional probability?

95