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How would you design a recommendation system that tracks a user's music listening behavior and uses that data to suggest new songs or artists that they might enjoy? What features or characteristics would you use to model the user's listening history and how would you incorporate those into your recommendation algorithm?

Join two sorted arrays to form another sorted array.

Would you be willing to demonstrate your understanding of KNN classifiers through construction?

Can you explain the ROC curve and its importance in machine learning?

Could you calculate the odds of correctly identifying a random card from a full deck?

Explain one of the processes you learned/developed during your previous job, which you believe will prove valuable in your future position with Zoox

I'd like to see how you would code a function to create a normal distribution graph.,

If a coworker frequently arrives late to a scheduled meeting, what would you do?

Provide an overview of the major differences between multidimensional and tabular models and explain which model is preferred by Azure analysis services?

Why have you chosen to apply to Zoox?