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

Tell us how do deductive and inductive machine learning differ?

146

Tell us how is a decision tree pruned?

131

Tell us which do you think is more important: model accuracy or model performance?

What is the f1 score? How would you use it?

154

What is the difference between type I and type ii error?

161

What's the “kernel trick” and how is it useful?

How do you think google is training data for self-driving cars?

698

Name some feature extraction techniques used for dimensionality reduction?

What are some differences between a linked list and an array?

How can we use your machine learning skills to generate revenue?

111

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

125

What is a fourier transform?

100

Why is “naive” bayes naive?

How do deductive and inductive machine learning differ?

What is your training in machine learning and what types of hands-on experience do you have?

150

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Un-Answered Questions { AI Machine Learning }

What are the most common types of machine learning task?

Explain the benefit of naive bayes in machine learning?

101

Is machine learning artificial intelligence?

What is the difference between probability and likelihood?

164

What kind problems are solved by regularization?

119

Mention key business metrics that help ML?

Why is logistic regression better than naive bayes?

139

Explain the Algorithm Technique of Reinforcement Learning in Machine Learning?

What is bayes' theorem?

What do you understand by algorithm independent machine learning?

How does machine learning differ from deep learning?

Explain How We Can Capture The Correlation Between Continuous And Categorical Variable?

122

What is the bias-variance decomposition of classification error in the ensemble method?

143

How do classification and regression differ?

117

How many types are available in machine learning?

187

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