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?

Un-Answered Questions { AI Machine Learning }

What Are The Steps Involved In Machine Learning Project?

103

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

What are the different categories you can categorize the sequence learning process?

167

How is ML different from artificial intelligence?

127

Why machine learning is popular now?

What kind of problems lend themselves to machine learning?

Tell us how is a decision tree pruned?

131

What is the difference between artificial intelligence and machine learning?

123

What laptop should I buy for machine learning?

Explain the various benefits of r language?

What is machine learning basics?

Is naive bayes a supervised or unsupervised method?

Explain how do you handle missing or corrupted data in a dataset?

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

126

How will you explain machine learning to a layperson in an easily comprehensible manner?

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