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

Why naïve bayes is called naïve?

103

What are the 3 types of ai?

Explain the objective of machine learning?

100

Explain the machine learning techniques?

102

Explain the types of machine learning?

What is regression in machine learning?

168

Explain the difference between machine learning and regression?

What is conditional probability?

Explain the difference between bayes and naive bayes?

138

How bayes theorem is useful in a machine learning context?

What are the classification problems in machine learning?

149

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?

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Un-Answered Questions { AI Machine Learning }

How can you ensure that you are not overfitting with a particular model?

101

Give a popular application of machine learning that you see on day to day basis?

What is classification in machine learning?

148

What are the types of machine learning?

What is the difference between a generative and discriminative model?

106

How does gaussian naive bayes work?

What do you understand by the f1 score?

What are the different categories you can categorize the sequence learning process?

154

Which one would you prefer to choose – model accuracy or model performance?

175

What are the basic requirements for machine learning?

102

How do you think google is training data for self-driving cars?

666

Define a fourier transform?

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

108

What is symbolic processing?

118

Tell us an example where ensemble techniques might be useful?

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