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?

104

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 }

How can we use your machine learning skills to generate revenue?

108

How do classification and regression differ?

111

What is calibration in machine learning?

100

What is accuracy score in machine learning?

116

What are the recommended systems?

119

Tell us do you have research experience in machine learning?

143

Tell us what's the difference between type I and type ii error?

130

How is machine learning used in the movement?

155

Which language is better for machine learning?

102

Explain the purpose of a classifier?

Is python the best language for machine learning?

142

Give me an examples of nosql architecture?

What do you understand by selection bias?

186

Tell me what is the most frequent metric to assess model accuracy for classification problems?

What is supervised machine learning?

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