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?

121

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?

106

Un-Answered Questions { AI Machine Learning }

What laptop should I buy for machine learning?

What is Machine learning?

111

What is bagging in Machine Learning?

103

How is decision tree pruned?

Explain the function of Unsupervised Learning?

103

Explain the difference between bayes and naive bayes?

146

What is machine learning in artificial intelligence?

Explain the benefit of naive bayes mcq?

Why is machine learning important?

135

Explain how would you implement a recommendation system for our company's users?

129

Why is naïve bayes machine learning algorithm naïve?

152

What do you mean by parametric models? Also, give some examples of them?

What is kernel SVM?

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

124

What is non symbolic Interactionism?

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