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?

105

What are the 3 types of ai?

Explain the objective of machine learning?

104

Explain the machine learning techniques?

106

Explain the types of machine learning?

What is regression in machine learning?

172

Explain the difference between machine learning and regression?

What is conditional probability?

Explain the difference between bayes and naive bayes?

144

How bayes theorem is useful in a machine learning context?

What are the classification problems in machine learning?

151

Explain why is naive bayes better than decision tree?

Explain the benefit of naive bayes in machine learning?

Why naive bayes is called naive?

Explain the difference between bayesian and frequentist?

101

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Un-Answered Questions { AI Machine Learning }

What are the classification problems in machine learning?

151

What is the benefit of naive bayes in machine learning?

Define a fourier transform?

What is optimization in ML?

136

What is a Confusion Matrix?

106

What are the steps for wrangling and cleaning data before applying machine learning algorithms?

Differentiate between inductive learning and deductive learning?

103

How is KNN different from K-means clustering?

122

Why do we convert categorical variables into factor? Which function is used in r to perform the same?

115

What is false positive and false negative in terms of machine learning?

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

154

Explain the machine learning techniques?

106

What do you mean by parametric models?

What is the trade-off between bias and variance?

What do you mean by finite automata?

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