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?

109

What do you understand by ilp?

What are the recommended systems?

119

Describe precision and recall?

146

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

164

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?

Un-Answered Questions { AI Machine Learning }

Name a few libraries in Python used for Data Analysis and Scientific Computations?

118

What are the two methods used for the calibration in Supervised Learning?

How to decide one problem is a machine learning problem or not?

187

Define a hash table?

Logistic regression gives probabilities as a result then how do we use it to predict a binary outcome?

What is the most frequent metric to assess model accuracy for classification problems?

135

What is optimization in ML?

131

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

109

Explain how do classification and regression differ?

145

Please explain the concept of a boltzmann machine.

What are the areas in robotics and information processing where the sequential prediction problem arises?

What is the benefit of naive bayes in machine learning?

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

How Recall and True positive rate are related?

Why classification is important in machine learning?

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