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

AI Algorithms (74)
AI Natural Language Processing (96)
AI Knowledge Representation Reasoning (12)
AI Robotics (183)

Artificial Intelligence Interview Questions

Questions Answers Views Company eMail

What is the difference between inductive and deductive learning?

148

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

Un-Answered Questions { Artificial Intelligence }

What is the difference between a cluster and systematic sampling?

340

What can you do with an nn and what not?

1106

What is the problem of artificial intelligence?

991

Treating a categorical variable as a continuous variable would result in a better predictive model?

329

What is bias and variance in a Machine Learning model?

249

How will you set the threshold for credit card fraud detection model?

157

Explain the difference between a validation set and a test set?

331

What is the role of the activation function?

323

What are cases and variables?

1241

Explain types of clustering algorithm?

315

Explain the difference between overfitting and underfitting?

376

What research methodologies do you favor?

How is decision tree pruned?

Do gradient descent methods always converge to the same point?

447

Can radeon run cuda?

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