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What's your strategy for implementing a dynamic programming technique to seek out the longest rising subarray?

Is this Data Scientist role a good fit for your qualifications?

In skewed distributions, where do the mean and median fall compared to a normal distribution?

How would you explain bootstrapping, and do you advocate its use for increasing sample sizes?

How would you define success?

What sets the K-means algorithm apart from the Expectation-Maximization (EM) algorithm?

E, F, G, H, and I are all characters linked together. E is linked to F, E is linked to G, G is linked to H, G is linked to I. Can these characters be separated into two sets so that the graph will be a bipartite?

How do you derive the rolling average for a specific metric across a predetermined period of time?

Can you discuss the convergence of stochastic gradient descent (SGD) and its advantages over gradient descent?

How do you cope with your work load in your present company?