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

What is your opinion on our current data process?

What is your favorite use case for machine learning models?

Is rotation necessary in PCA?

172

What happens if the components are not rotated in PCA?

Explain why Navie Bayes is so Naive?

How Recall and True positive rate are related?

Assume that you are working on a data set, explain how would you select important variables?

182

How to handle missing data in a dataset in Machine Learning?

160

What do you mean by Overfitting? How to avoid this?

136

What do you mean by Inductive Logic Programming (ILP)?

102

Difference between Classification and Regression?

317

What Are The Steps Involved In Machine Learning Project?

103

Why do we need a validation set and test set? What is the difference between them?

112

What is stratified cross-validation and when should we use it?

147

Why do ensembles typically have higher scores than individual models?

180

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Un-Answered Questions { AI Machine Learning }

Please explain the concept of a boltzmann machine.

Why is naive bayes better than decision tree?

138

What is ‘tuning’ in ML?

100

What is class-imbalanced dataset in machine learning?

127

Why is python best for machine learning?

How machine learning is deployed in real world scenarios?

What is regression in machine learning with example?

What does linear in ‘linear regression’ actually mean?

178

What is the baseline for machine learning?

101

Tell me how much data will you allocate for your training, validation and test sets?

177

What is Bayes theorem in artificial intelligence?

117

How will you explain machine learning to a layperson in an easily comprehensible manner?

Explain Classification and Regression?

173

Why is machine learning important?

135

Explain some differences between a linked list and an array?

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