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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?

Distinguishin between bias and variance and describing how they affect machine learning?

What steps are involved in creating an ROC curve based on a list of predicted probabilities and true labels?

Can you articulate the differences between using a confusion matrix and an ROC curve for model evaluation?

What is collaborative filtering in ML?

What are the steps involved in generating a fair coin out of a biased one?

How would you construct a binary search function that isolates the largest number in a list of integers?

How do you ensure that the data you are feeding into machine learning algorithms is representative and unbiased?

Please describe a conflict with your manager.

What is the reason behind your search for a new job?