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What would you consider success?

Could you provide an explanation of how to split up errors into bias and variance categories in a predictive model?

Which optimization algorithms are you acquainted with? Can you discuss strategies for dealing with an optimization task that involves a million variables? Could you walk me through the workings of the simplex method in optimization?

Can you describe how you would estimate the probability of ordering a ride, and what assumptions are necessary for this computation? How would a confidence interval be generated for this probability?

Describe a time when you showed initiative.

What methods have you found useful for determining the most appropriate value of "k" for a given dataset using the K-means algorithm?

Explain advantages and drawbacks of SVM.

Have you ever had to convince someone of an idea? How did you do it?

Could you provide an analogy that would help a non-technical person understand the P-value?

Would you mind sharing a difficult piece of feedback you received and how you handled it?