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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

Explain the purpose of machine learning?

75

Explain the 3 types of ai?

126

Explain the different types of classifiers?

64

Explain the importance of bayes theorem?

84

Explain the most common types of machine learning task?

80

What is classification in machine learning?

156

Explain the purpose of a classifier?

82

What is the use of naive bayes?

100

Explain how does naive bayes classifier work in machine learning?

104

Explain the topics in machine learning?

146

Explain the benefit of naive bayes mcq?

82

Is naive bayes a supervised or unsupervised method?

87

Explain what is naive bayes in machine learning?

83

Name the three types of algorithms?

101

What is the best language to learn machine learning?

94


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

What kind of problems lend themselves to machine learning?

67


Explain the Algorithm Technique of Reinforcement Learning in Machine Learning?

95


What are standardization and normalisation?

107


Differentiate supervised and unsupervised machine learning.

232


Explain me what is bayes' theorem? How is it useful in a machine learning context?

86


Tell me how would you implement a recommendation system for our company's users?

223


Why overfitting happens?

111


What is the difference between machine learning and regression?

132


How Recall and True positive rate are related?

75


What is bayes' theorem? How is it useful in a machine learning context?

79


What is Perceptron in Machine Learning?

233


How do deductive and inductive machine learning differ?

61


Can naive bayes be used for multiclass classification?

88


Is Python enough for machine learning?

100


What is machine learning example?

70