AI Machine Learning Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

AI Machine Learning Interview Questions

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Why naïve bayes is called naïve?

What are the 3 types of ai?

Explain the objective of machine learning?

Explain the machine learning techniques?

Explain the types of machine learning?

What is regression in machine learning?

Explain the difference between machine learning and regression?

What is conditional probability?

Explain the difference between bayes and naive bayes?

How bayes theorem is useful in a machine learning context?

What are the classification problems in machine learning?

Explain why is naive bayes better than decision tree?

Explain the benefit of naive bayes in machine learning?

Why naive bayes is called naive?

Explain the difference between bayesian and frequentist?

Un-Answered Questions { AI Machine Learning }

Tell us which one would you prefer to choose – model accuracy or model performance?

What is regularization? Can you give some examples of regularization techniques?

Why overfitting happens?

What do you understand by machine learning?

Is java used for ai?

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What is ‘Training set’ and ‘Test set’?

What is a class in machine learning?

What are convolutional networks? Where can we use them?

Tell us how do classification and regression differ?

What is machine learning artificial intelligence?

What do you understand by Eigenvectors and Eigenvalues?

What is algorithm independent machine learning?

Explain latent dirichlet allocation (lda).

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

What is a bayesian model?

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