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

Explain what is the difference between inductive machine learning and deductive machine learning?

Which do you think is more important: model accuracy or model performance?

What cross-validation technique would you use on a time series dataset?

103

What do you think of our current data process?

When should you use classification over regression?

What is the “kernel trick” and how is it useful?

119

Explain machine learning in to a layperson?

What's the f1 score? How would you use it?

What are your favorite use cases of machine learning models?

129

An example where ensemble techniques might be useful?

111

What is the difference between a generative and discriminative model?

108

How a roc curve works?

What is bayes' theorem? How is it useful in a machine learning context?

How would you handle an imbalanced dataset?

194

How do you handle missing or corrupted data in a dataset?

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Un-Answered Questions { AI Machine Learning }

Describe precision and recall?

148

What is batch size machine learning?

141

What is the use of gradient descent?

106

Why overfitting occurs?

109

What was bayes’ theorem? How was it useful in a machine learning context?

152

How is machine learning used in day-to-day life?

Why machine learning is so important?

116

Why naive bayes is called naive?

How does machine learning differ from deep learning?

How is machine learning used in the movement?

155

Explain How We Can Capture The Correlation Between Continuous And Categorical Variable?

116

Tell us an example where ensemble techniques might be useful?

What is PAC Learning?

105

What are the five popular algorithms of Machine Learning?

107

Please, State Few Popular Machine Learning Algorithms?

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