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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 }

Is naive bayes supervised learning?

136


Mention any one of the data visualization tools that you are familiar with?

65


Explain me a hash table?

76


What Is The Difference Between Bias And Variance?

136


How Recall and True positive rate are related?

75


Where do we use encoder and decoder?

107


Is r better than python for machine learning?

126


Tell us what do you think of our current data process?

67


What is the decision tree classification?

126


What is candidate sampling in machine learning?

145


Explain the Algorithm of Decision Trees in Machine Learning?

92


Name the three types of algorithms?

101


Differentiate between inductive learning and deductive learning?

105


Explain the bias-variance tradeoff.

72


What is ‘tuning’ in ML?

100