Artificial Intelligence Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

Artificial Intelligence Interview Questions

Questions Answers Views Company eMail

What is the difference between inductive and deductive learning?

How is KNN different from K-means clustering?

What is ROC curve and what does it represent?

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

105

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?

102

What is the difference between Entropy and Information Gain?

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

Explain Ensemble learning technique in Machine Learning?

What is bagging and boosting in Machine Learning?

What is bagging in Machine Learning?

What is boosting in Machine Learning?

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

What are collinearity and multicollinearity?

Un-Answered Questions { Artificial Intelligence }

Name search algorithm technology?

624

What is need of principal component analysis?

174

What is the good measure of influence of a Twitter user?

106

Describe 'training set' and 'training test'.

What is an artificial intelligence neural networks?

512

why do we need data normalization?

What is meant by feature vectors?

111

What are the important algorithms Tensorflow supports?

What is local search algorithms?

582

Is machine learning hard?

167

Is deep learning better than machine learning?

What is the difference between tensor.eval() and session.run()?

List the major sources of knowledge.

1212

What do you mean by deep learning?

What is the difference between inductive and deductive learning?

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