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?

What is the trade-off between bias and variance?

Which are the two components of bayesian logic program?

Do you think that treating a categorical variable as a continuous variable would result in a better predictive model?

What are the common ways to handle missing data in a dataset?

111

What do you understand by ilp?

What are the recommended systems?

127

Describe precision and recall?

154

What according to you, is more important between model accuracy and model performance?

170

Describe dimension reduction in machine learning.

Explain true positive, true negative, false positive, and false negative in confusion matrix with an example.

Describe 'training set' and 'training test'.

What do you understand by the confusion matrix?

How is a decision tree pruned?

What do you mean by genetic programming?

106

Un-Answered Questions { AI Machine Learning }

Describe the classifier in machine learning.

List down various approaches to machine learning?

172

What’s your favorite algorithm, and can you explain it to me in less than a minute?

159

What is meant by naive bayes classifier?

Explain the difference between bayesian and frequentist?

106

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

Explain when should you use classification over regression?

What is roc?

106

Explain how do you think google is training data for self-driving cars?

155

Can you name some popular machine learning algorithms?

Is naive bayes good?

127

Why classification is important in machine learning?

106

What are different types of Compilers and also define how to convert NFA to DFA?

What is a bayesian model?

How do classification and regression differ?

117

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