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How would you go about setting the right price for riders?

Let's say you draw a value randomly each day from a normal distribution, with a mean of 0 and a standard deviation of How many days, on average, do you think it would take to obtain a value greater than 2?

What is the relationship between bias and variance in machine learning, and can you give an example of how this tradeoff can be observed in a model's performance?

Can you talk about the complexities involved in training deep neural networks with an extensive number of layers?

Could you discuss the outlier detection methods you've utilized in earlier projects?

What are the skills that make you a strong candidate?

How can you use information theory to compare different language models? Can you provide an example of how this could be applied to evaluate the performance of two models?

What are some of your key objectives from the Data Scientist role at Apple?

What is the most significant challenge you overcame in a previous role where you had a lot of responsibility?

Can you explain how you would extract the unique communicators from a messages table in SQL, which contains columns id, sender_id, receiver_id, and message?