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?

108

Un-Answered Questions { AI Machine Learning }

Define a fourier transform?

100

Can r be used for machine learning?

How do deductive and inductive machine learning differ?

What is recall?

What is a model selection in machine learning?

Which linux is best for machine learning?

What is the difference between machine learning and regression?

132

Why is “naive” bayes naive?

Explain what is the function of ‘Supervised Learning’?

What is the F1 score?

Explain the Algorithm Technique of Transduction in Machine Learning?

101

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

159

What is bayes' theorem?

What is symbolic processing?

126

What do you mean by Inductive Logic Programming (ILP)?

104

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