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When building a demand forecasting model for a ride-sharing service, what data sources would you use and what factors would be included? How would you ensure that the model provides accurate forecasts?

What is your technique for identifying any overlapping ancestors between two people when examining separate genealogy charts?

Can you come up with an algorithm that identifies all possible triplets in an integer array that sum up to a target value?

What is the principle behind bootstrapping, and would you recommend using it to increase sample sizes?

Tell me how you would calculate the shortest distance for a knight on an infinite chessboard to move from A to B.

How can you differentiate between bagging and boosting, and what impact do they have on the bias and variance of supervised learning models?

Could you enumerate different approaches to time series forecasting other than ARIMA?

Write code that can identify the subarray of length k with the maximum sum from a given array of integers.

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?

How does bounding box regression work when detecting objects within an image?