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?

What do you understand by ilp?

What are the recommended systems?

Describe precision and recall?

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

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 }

What is symbolic machine learning?

What are the important data pre-processing techniques in python machine learning?

Explain what is the function of ‘Supervised Learning’?

Is python the best language for machine learning?

110

What is 'naive' in the Naive Bayes classifier?

What is machine learning in artificial intelligence?

What Is Fourier Transform In A Single Sentence?

124

Which operating system is best for machine learning?

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

Is rotation necessary in PCA?

109

What are the differences between machine learning and artificial intelligence?

What are the 3 types of ai?

Tell me how a roc curve works?

Is naive bayes supervised learning?

Tell me what is precision and recall?

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