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?

129

Describe precision and recall?

156

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

172

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 }

How a roc curve works?

What is decision tree classification?

151

What is difference between supervised and unsupervised learning algorithms?

104

What is data structure? And what are the different types of data structures supported in r programming?

117

Is naïve bayes a supervised or unsupervised method?

118

Tell me how a roc curve works?

Explain false negative, false positive, true negative and true positive with a simple example?

What is unsupervised learning?

Why is machine learning important?

145

What are parametric models? Give an example.

What kind of problems lend themselves to machine learning?

How would you use fl score?

What are the various aspects of a machine learning process?

How would you handle an imbalanced dataset?

219

How does a classifier work?

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