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?

101

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?

123

An example where ensemble techniques might be useful?

109

What is the difference between a generative and discriminative model?

106

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?

190

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

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Un-Answered Questions { AI Machine Learning }

What is root cause analysis?

158

What is boosting in Machine Learning?

What is a Confusion Matrix?

106

What is the curse of dimensionality? Can you list some ways to deal with it?

113

Why naive bayes is called naive?

Describe precision and recall?

146

How do you ensure you're not overfitting with a model?

121

What is the main difference between a Pandas series and a single-column DataFrame in Python?

107

Explain what are some methods of reducing dimensionality?

How python can be used in machine learning?

160

Explain the Algorithm of Support vector machines in Machine Learning?

What is the “curse of dimensionality?

What is dimension reduction in Machine Learning?

169

Can naive bayes be used for multiclass classification?

How would you explain Machine Learning to a school-going kid?

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