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?

114

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?

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Un-Answered Questions { AI Machine Learning }

What is the box-cox transformation used for?

Explain the Algorithm of Neural Networks (back propagation) in Machine Learning?

111

How Recall and True positive rate are related?

What is backpropagation in machine learning?

162

What is difference between a parameter and a hyperparameter?

180

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

What is decision tree classification?

145

Explain me what is machine learning?

What is type I vs type ii error?

348

Is naive bayes good?

127

What is feature scaling?

Explain how is knn different from k-means clustering?

122

What is batch in machine learning?

106

What is an AdaGrad algorithm in machine learning?

Which library would you prefer for plotting in Python language: Seaborn or Matplotlib or Bokeh?

130

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