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?

112

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

158

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?

235

What is the difference between Entropy and Information Gain?

136

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

111

Explain Ensemble learning technique in Machine Learning?

120

What is bagging and boosting in Machine Learning?

186

What is bagging in Machine Learning?

109

What is boosting in Machine Learning?

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

115

What are collinearity and multicollinearity?

122

What do you understand by Eigenvectors and Eigenvalues?

116

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Un-Answered Questions { AI Machine Learning }

Why classification is important in machine learning?

108

What do you mean by Inductive Logic Programming (ILP)?

104

Please, State Few Popular Machine Learning Algorithms?

Define a fourier transform?

106

When is ridge regression favorable over lasso regression?

165

What is Inductive Logic Programming in Machine Learning?

140

Tell us what kind of problems does regularization solve?

How would you use fl score?

What is supervised and unsupervised machine learning?

142

What is algorithm independent machine learning?

125

How bayes theorem is useful in a machine learning context?

100

What is bayes' theorem? How is it useful in a machine learning context?

Choose any machine learning algorithm and describe it.

261

What is the Model Building in Machine Learning?

144

What is the “curse of dimensionality?

107

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