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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

Describe a situation where you took the initiative.

The customer who accounts for 7% of your ARR threatens to go to a competitor unless you build some features that only they are likely to use. How are you going to manage this scenario?

Talk about a time you had a conflict with your manager.

Could you tell me about a time when you aided a colleague with his work?

Could you outline an algorithm for detecting the longest strictly increasing subarray via dynamic programming?