AI Machine Learning Interview Questions
Questions Answers Views Company eMail

Explain the purpose of machine learning?

50

Explain the 3 types of ai?

94

Explain the different types of classifiers?

32

Explain the importance of bayes theorem?

59

Explain the most common types of machine learning task?

56

What is classification in machine learning?

88

Explain the purpose of a classifier?

41

What is the use of naive bayes?

68

Explain how does naive bayes classifier work in machine learning?

70

Explain the topics in machine learning?

68

Explain the benefit of naive bayes mcq?

56

Is naive bayes a supervised or unsupervised method?

55

Explain what is naive bayes in machine learning?

60

Name the three types of algorithms?

72

What is the best language to learn machine learning?

52


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Un-Answered Questions { AI Machine Learning }

Explain the various benefits of r language?

53


Why naïve bayes is called naïve?

67


What is data normalization in ml?

68


What do you know about bayesian networks?

47


Explain false negative, false positive, true negative and true positive with a simple example?

60






What is symbolic learning?

68


When will you use classification over regression?

72


Explain me what cross-validation technique would you use on a time series dataset?

47


What do you mean by ensemble learning?

57


What is batch normalization?

66


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

104


What is non symbolic Interactionism?

57


What is candidate sampling in machine learning?

64


Tell us how can we use your machine learning skills to generate revenue?

67


What do you mean by regression in machine learning?

44