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How would you build and test a metric to compare two user's Netflix "recommended lists" of movie/tv show preferences?

Can you devise a strategy to interpret a string with multiple levels of nested parentheses?

Please tell us about a probability distribution that doesn't abide by the standard normal distribution? Do you have an idea about any industry where this probability distribution could be applied?

Where so you see yourself in next 5 years?

Can you delineate the process of collaborative filtering in machine learning models?

What method would you use to find the dot product between two sparse matrices?

How do you explain overfitting and underfitting in machine learning, and what is their significance in the development of models?

What steps would you take to generate 1000 normal distribution data points with mean=x, variance=y in R, summarize the data, and plot the density? Then, how would you achieve the same outcome using Python in the Codility code editor?

How are window functions in SQL utilized differently compared to aggregation functions and joins?

Would you be able to compose a routine to search for the longest palindrome in a string?