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?

110

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?

123

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?

137

An example where ensemble techniques might be useful?

115

What is the difference between a generative and discriminative model?

118

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?

219

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

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Un-Answered Questions { AI Machine Learning }

What are the different types of algorithm methods in machine learning?

Tell us why is “naive” bayes naive?

What is the difference between a generative and discriminative model?

118

What is root cause analysis?

164

Why overfitting happens?

113

Tell us what's the difference between a generative and discriminative model?

What are the types of machine learning?

100

Tell us how do deductive and inductive machine learning differ?

150

What is your favorite use case for machine learning models?

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

138

What is Random Forest?

117

Explain the difference between bias and variance?

How is machine learning (ml) different from artificial intelligence (ai)?

127

What are the best python libraries used in machine learning?

263

What is symbolic processing?

128

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