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?

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?

133

An example where ensemble techniques might be useful?

115

What is the difference between a generative and discriminative model?

116

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?

198

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

Un-Answered Questions { AI Machine Learning }

Explain the purpose of a classifier?

Tell us how can we use your machine learning skills to generate revenue?

What is Rectified Linear Unit (ReLU) in Machine learning?

126

What is the benefit of naïve bayes mcq?

What are the three stages of building the hypotheses or model in machine learning?

Tell us what's the f1 score? How would you use it?

What is the trade-off between bias and variance?

What is a boltzmann machine?

179

What is PAC Learning?

109

What is sequence classification?

167

Why do we need to convert categorical variables into factor? Which functions are used to perform the conversion?

Why is Python better for machine learning?

301

What do you mean by ensemble learning?

118

What is dimensionality reduction?

Is naïve bayes a supervised or unsupervised method?

112

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