Machine learning questions on models, evaluation and putting models into production, asked in ML engineering and data science interviews.
Showing 10 of 33 questions
What is entropy, and how is it applied in machine learning?
Medium
machine learning
Create a machine learning monitoring system that tracks drift, performance, outliers, and quality for a fantasy sports application.
Medium
machine learning
Samsung
Create a system that identifies paper waste and sorts it into the appropriate bin.
Medium
machine learning
Describe linear regression to a technical stakeholder.
Medium
machine learning
What steps do you take to ensure that a deployed model remains current?
Medium
machine learning
Describe the concept of gradient descent.
Medium
machine learning
Microsoft
Share a machine learning research topic that you find intriguing.
Medium
machine learning
In what ways do the tree combinations generated by boosting methods differ from those utilized in random forests?
Medium
machine learning
Outline the model you would create to forecast which credit card transactions are fraudulent.
Medium
machine learning
What are the assumptions underlying linear regression? What occurs if any of these assumptions are not met?
Medium
machine learning
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