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?

30

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?

66

Explain the benefit of naive bayes mcq?

56

Is naive bayes a supervised or unsupervised method?

53

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 }

what is the function of ‘unsupervised learning’?

54


What is machine learning and how does it relate to ai?

77


How can you avoid overfitting?

56


When to use ensemble learning?

79


What is Rectified Linear Unit (ReLU) in Machine learning?

72






An example where ensemble techniques might be useful?

84


What is symbolic planning?

74


Tell me what is the difference between bias and variance?

43


Tell us how do deductive and inductive machine learning differ?

66


Tell us how do bias and variance play out in machine learning?

72


Which Python library is used for machine learning?

111


What are some common unsupervised tasks other than clustering?

46


What is the difference between machine learning and regression?

94


What do you understand by machine learning?

85


Define what is Fourier Transform in a single sentence?

53