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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.

78

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

79

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?

92

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

111

What are collinearity and multicollinearity?

116

What do you understand by Eigenvectors and Eigenvalues?

114


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

How does a classifier work?

79


Explain why Navie Bayes is so Naive?

70


What is ‘tuning’ in ML?

100


What is the method to avoid overfitting?

160


What is symbolic machine learning?

114


Name some feature extraction techniques used for dimensionality reduction?

82


Tell me what is the most frequent metric to assess model accuracy for classification problems?

89


What is the calibration layer in machine learning?

135


What is the difference between inductive and deductive learning?

146


What is the trade-off between bias and variance?

67


Explain what is precision and Recall?

102


What is logistic regression? State an example when you have used logistic regression recently.

182


What is classification and regression in machine learning?

200


Can you name some feature extraction techniques used for dimensionality reduction?

68


What is symbolic planning?

116