AI Machine Learning Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

AI Machine Learning Interview Questions

Questions Answers Views Company eMail

Why naïve bayes is called naïve?

107

What are the 3 types of ai?

100

Explain the objective of machine learning?

111

Explain the machine learning techniques?

112

Explain the types of machine learning?

101

What is regression in machine learning?

179

Explain the difference between machine learning and regression?

What is conditional probability?

Explain the difference between bayes and naive bayes?

150

How bayes theorem is useful in a machine learning context?

100

What are the classification problems in machine learning?

159

Explain why is naive bayes better than decision tree?

Explain the benefit of naive bayes in machine learning?

103

Why naive bayes is called naive?

Explain the difference between bayesian and frequentist?

108

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Un-Answered Questions { AI Machine Learning }

What do you mean by parametric models?

What are the different types of classifiers?

119

Explain the steps in making a decision tree.

134

What Are The Steps Involved In Machine Learning Project?

105

What is not Machine Learning?

107

What is symbolic learning in AI?

109

What is batch normalization?

100

What are convolutional networks? Where can we use them?

113

How will you choose the most appropriate machine learning algorithm for your classification problem?

Explain the most common types of machine learning task?

How will you set the threshold for credit card fraud detection model?

164

How does deductive and inductive machine learning differ?

133

What is backpropagation in machine learning?

168

What is the difference between heuristic for rule learning and heuristics for decision trees?

What is stratified cross-validation and when should we use it?

152

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