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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?

What do you believe are your top 3 character traits that make you successful? How do they fit with ClassPass?

Tell me about a time you failed at work.

What do you understand by precision and recall? What are the caveats to using these metrics?

Tell me about an occasion when you disagreed with your boss.

What is the difference between K-means and the Expectation-Maximization (EM) algorithm?

What is Support Vector Machine and how does it work?

In Python, how do you fabricate a matrix following the Bernoulli distribution, and then normalize by each column's sum?

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?

Let's say we have 6 columns of data. How would you compare the data of the first 3 columns with those of the last 3?