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?

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?

117

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?

Un-Answered Questions { AI Machine Learning }

What is the meaning of overfitting in machine learning?

What is feature scaling?

Explain the k-nearest algorithm different from the knn clustering?

Who is associated with the theory of symbolic learning?

Why is logistic regression better than naive bayes?

131

When will you use classification over regression?

118

Explain The Concept Of Machine Learning And Assume That You Are Explaining This To A 5-year-old Baby?

What is a classifier in machine learning?

How does machine learning differ from deep learning?

What is convergence in machine learning?

111

What are the different Algorithm techniques in Machine Learning?

What is data normalization in ml?

128

Is Python enough for machine learning?

What is accuracy machine learning?

100

What is ‘Overfitting’ in Machine learning?

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