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Would you change anything to make Spotify better?

You are given a sorted list of integers, but some of the values are marked as -1 which indicates that they are out of range. Can you implement a method to determine the length of the list without using any built-in functions, and taking advantage of the sorted nature of the list?

Can you describe how Spotify's mission aligns with your long-term goals

When should we use decision trees, and what are the potential risks associated with them?

Can you suggest effective methods for dealing with highly cardinal categorical data?

How would you describe yourself and why do you think that you should be hired by Spotify?

Among the ReLU and sigmoid activation functions, which one is more effective in addressing the vanishing gradient problem?

Can you mention a selection of optimization algorithms you're versed in? How would you go about optimizing a scenario with an extremely large variable set, say a million? How does the simplex method facilitate solving linear optimization problems?

What are your thoughts on Spotify?

At which point in a neural network do vanishing gradients most often present a problem: early on or closer to the output?