AI Machine Learning Interview Questions
Questions Answers Views Company eMail

What is the purpose of a classifier?

45

What are classification problems in machine learning?

64

Is bayesian statistics useful?

96

What are the most common types of machine learning task?

59

Is r better than python for machine learning?

87

Which is the best language for machine learning?

49

What is naive bayes used for?

48

Is it better to learn python or r?

73

Why classification is important in machine learning?

64

What is the objective of machine learning?

69

What is svm algorithm?

90

Is python the best language for machine learning?

110

How does naive bayes classifier work in machine learning?

61

Can naive bayes be used for multiclass classification?

47

What are the different types of classifiers?

66


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Un-Answered Questions { AI Machine Learning }

Which language is better for machine learning r or python?

77


Explain me how would you handle an imbalanced dataset?

47


Which os is good for machine learning?

93


Difference between Classification and Regression?

207


Why is “naive” bayes naive?

52






What is the difference between inductive and deductive learning?

71


How many types are available in machine learning?

98


What do you mean by parametric models?

42


What type of learning is needed when the system needs to adapt to rapidly changing data?

47


How is machine learning used in the movement?

127


What is the difference between data mining and machine learning?

52


What is naive bayes classifier?

60


What skills do you need for machine learning?

54


What is supervised machine learning?

59


Why instance based learning algorithm sometimes referred as Lazy learning?

110