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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?

105

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?

96


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

What are the important data pre-processing techniques in python machine learning?

98


What is logistic regression? State an example when you have used logistic regression recently.

182


Explain the Algorithm of Decision Trees in Machine Learning?

92


What is statistical reasoning in artificial intelligence?

117


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

86


Why is machine learning important?

135


Tell us what evaluation approaches would you work to gauge the effectiveness of a machine learning model?

72


What is a recommendation system?

142


Where do we use encoder and decoder?

107


What evaluation approaches would you work to gauge the effectiveness of a machine learning model?

75


Why is logistic regression better than naive bayes?

139


What is the “kernel trick” and how is it useful?

119


Tell us what's the f1 score? How would you use it?

75


What do you understand by ilp?

83


Who invented machine learning?

113