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 }

What are the two main components of the hadoop framework?

What is bias-variance decomposition of classification error in ensemble method?

103

Can r be used for machine learning?

What is pca in ml?

115

What skills do you need for machine learning?

How would you evaluate a logistic regression model?

129

Why machine learning is so important?

118

What’s your favorite algorithm, and can you explain it to me in less than a minute?

159

What is recall?

What is batch size machine learning?

147

How do you choose an algorithm for a classification problem?

102

Explain me a hash table?

What are the different types of classifiers?

105

What sentiment analysis?

Which os is good for machine learning?

124

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