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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 }

Tell us which one would you prefer to choose – model accuracy or model performance?

99


What value do you optimize when using a support vector machine (SVM)?

114


What is supervised machine learning?

92


What are the two main components of the hadoop framework?

73


What is difference between supervised and unsupervised learning algorithms?

102


What is pca in ml?

115


What is Test set in machine learning?

128


What are the components of relational evaluation techniques?

151


What is the difference between a.i. And machine learning, and has a.i. Been oversold for decades because of sci-fi?

75


Compare sas, r and python programming?

168


Tell us how would you approach the “netflix prize” competition?

71


Why is machine learning important?

135


Tell us why is “naive” bayes naive?

72


What are neural networks and where do they find their application in ML? Elaborate.

104


What do you understand by the confusion matrix?

96