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

How is KNN different from K-means clustering?

126

What is ROC curve and what does it represent?

108

What’s the difference between Type I and Type II error?

153

Is it better to have too many false positives or too many false negatives? Explain.

Which is more important to you – model accuracy or model performance?

What is the difference between Gini Impurity and Entropy in a Decision Tree?

229

What is the difference between Entropy and Information Gain?

134

What is Overfitting? And how do you ensure you’re not overfitting with a model?

105

Explain Ensemble learning technique in Machine Learning?

120

What is bagging and boosting in Machine Learning?

180

What is bagging in Machine Learning?

103

What is boosting in Machine Learning?

How would you screen for outliers and what should you do if you find one?

111

What are collinearity and multicollinearity?

118

What do you understand by Eigenvectors and Eigenvalues?

114

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Un-Answered Questions { AI Machine Learning }

How would you evaluate a logistic regression model?

129

How does a classifier work?

What is regression in machine learning?

176

What do you understand by underfitting?

Explain what is the function of ‘Unsupervised Learning’?

What are PCA, KPCA, and ICA used for?

What is pruning in decision trees and how is it done?

What is your favorite algorithm and also explain the algorithm in briefly in a minute?

What kind of problems lend themselves to machine learning?

What is classification and regression in machine learning?

201

Why is python so popular in machine learning?

Why do we use Python and machine learning AI?

What is an Incremental Learning algorithm in ensemble?

103

Tell me what is precision and recall?

127

What is bias-variance trade-off in machine learning?

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