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?

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?

156

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 }

Is Python enough for machine learning?

100

Explain the Inductive Learning in Machine Learning?

What is the Difference between Concept Learning and Classification Learning in Machine Learning?

224

What is the difference between an array and Linked list in Machine learning?

121

What do you mean by ensemble learning?

118

Why naïve bayes is called naïve?

105

What is precision and recall?

Do you think that treating a categorical variable as a continuous variable would result in a better predictive model?

What is class-imbalanced dataset in machine learning?

127

How would you explain Machine Learning to a school-going kid?

What are the three types of algorithms?

Explain what is a recommendation system?

Explain the difference between machine learning and regression?

Tell us what do you think of our current data process?

What is boosting in Machine Learning?

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