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?

150

Tell us how is a decision tree pruned?

133

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

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

158

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

165

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

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

728

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?

113

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

127

What is a fourier transform?

102

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 }

Why do we use Python and machine learning AI?

101

Why is python so good?

109

Which operating system is best for machine learning?

119

Why do we convert categorical variables into factor?

106

What do you understand by the f1 score?

What are parametric models? Give an example.

Who is associated with the theory of symbolic learning?

How will you explain machine learning to a layperson?

What are the best python libraries used in machine learning?

264

What is the most frequent metric to assess model accuracy for classification problems?

147

What is the difference between a generative and discriminative model?

118

What is the difference between Entropy and Information Gain?

136

What is an Incremental Learning algorithm in the ensemble?

110

Explain the most common types of machine learning task?

Why instance based learning algorithm sometimes referred as lazy learning algorithm?

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