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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

Explain the purpose of machine learning?

73

Explain the 3 types of ai?

124

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?

154

Explain the purpose of a classifier?

78

What is the use of naive bayes?

96

Explain how does naive bayes classifier work in machine learning?

102

Explain the topics in machine learning?

144

Explain the benefit of naive bayes mcq?

78

Is naive bayes a supervised or unsupervised method?

83

Explain what is naive bayes in machine learning?

79

Name the three types of algorithms?

101

What is the best language to learn machine learning?

92


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

How to handle missing data in a dataset in Machine Learning?

154


Explain the difference between machine learning and regression?

75


Explain the difference between type I and type ii error?

63


How bayes theorem is useful in a machine learning context?

94


What is precision and recall?

74


What is symbolic learning?

104


What is the difference between type I and type ii error?

157


Why does overfitting happen?

91


What is Seq2Seq Tensorflow?

117


How can you ensure that you are not overfitting with a particular model?

103


What is decision tree classification?

138


You are given a data set. The data set has missing values which spread along 1 standard deviation from the median. What percentage of data would remain unaffected? Why ?

491


Tell me what is a recommendation system?

180


When should you use classification over regression?

60


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

102