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When faced with skewed data in model evaluation, how do you proceed and what metrics do you consider?

What types of problems can arise from a corrupt Windows Registry?

Develop a distributed event sourcing management framework.

In your experience, how do you effectively serialize and deserialize data types in JavaScript that are not inherently JSON-friendly?

When it comes to machine learning, what does regularization mean to you and how does it work?

Can you discuss the steps involved in decomposing errors into bias and variance in a machine learning model?

Assume you have a square grid of known size and each spot in a grid as a number of some real value. If you start at the top left corner and can only go down or right, what it the maximum number you can obtain once you reach the bottom left?

What was your most innovative idea? How did you come up with it, and how did you implement it?

With the limitations of only having a random number generator, what approach would you take to generate i.i.d. draws from distribution X?

What would be your ideal team to join in Zendesk