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?

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Un-Answered Questions { AI Machine Learning }

How many types are available in machine learning?

187

How can you handle duplicate values in a dataset for a variable in Python?

236

What’s the difference between Type I and Type II error?

154

What is bucketing in machine learning?

120

What is motor sequence learning?

112

What is a binary classification in machine learning?

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

Explain how does naive bayes classifier work in machine learning?

104

Mention any one of the data visualization tools that you are familiar with?

Describe 'training set' and 'training test'.

What are the machine learning techniques?

104

Why is python so good?

What are the two paradigms of ensemble methods?

157

Tell us what are some differences between a linked list and an array?

145

Why does overfitting happen?

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