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 }

Explain how can we use your machine learning skills to generate revenue?

Define a hash table?

What is the use of naive bayes?

102

Explain Principal Component Analysis (PCA)?

139

What is supervised machine learning?

What is non symbolic Interactionism?

What is boosting in Machine Learning?

What is data pre-processing technique for machine learning?

Why is machine learning important?

145

What is A/B Testing?

146

How will you explain machine learning into a layperson?

What is the bias-variance decomposition of classification error in the ensemble method?

147

How would you screen for outliers and what should you do if you find one?

115

Difference between Classification and Regression?

322

How will you choose the most appropriate machine learning algorithm for your classification problem?

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