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What distinguishes bagging from boosting, and how do they impact the bias and variance of a model?

How would you decide whether to implement a load balancer or a reverse proxy in a given infrastructure?

What methods do you apply to assess the accuracy of computer vision algorithms?

Which optimization algorithms are you acquainted with? Can you discuss strategies for dealing with an optimization task that involves a million variables? Could you walk me through the workings of the simplex method in optimization?

How do you make sure that your machine learning results are communicated in the most impactful way to stakeholders?

Can we consider R-square to be an all-encompassing measure for linear regression model accuracy? When faced with a low R-square measurement, how do you assess the adequacy of the regression model?