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

What is the purpose of a classifier?

What are classification problems in machine learning?

Is bayesian statistics useful?

163

What are the most common types of machine learning task?

Is r better than python for machine learning?

116

Which is the best language for machine learning?

What is naive bayes used for?

Is it better to learn python or r?

Why classification is important in machine learning?

What is the objective of machine learning?

193

What is svm algorithm?

131

Is python the best language for machine learning?

140

How does naive bayes classifier work in machine learning?

Can naive bayes be used for multiclass classification?

What are the different types of classifiers?

Un-Answered Questions { AI Machine Learning }

How does naive bayes classifier work in machine learning?

What is boosting in Machine Learning?

What do you understand by underfitting?

What are PCA, KPCA, and ICA used for?

Tell us how do you handle missing or corrupted data in a dataset?

What is symbolic planning?

106

What is the Difference between Inductive Learning and Analytical Learning in Machine Learning?

What are collinearity and multicollinearity?

109

What are the different categories you can categorized the sequence learning process?

Differentiate between statistics and ML?

137

What is the difference between heuristic for rule learning and heuristics for decision

152

What are the most common types of machine learning task?

What are parametric models? Give an example.

What do you mean by finite automata?

How is a decision tree pruned?

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