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Could you walk me through the process of correcting a biased coin to make it fair?

Could you elaborate on the assumption of error in linear regression and why it matters for precise modeling?

Share a time when you had to make a quick decision.

Is the R-square measure sufficient for linear regression analysis? What if the r-square value is low, does this mean that the fit is not good enough?

What's your approach when it comes to picking the most effective statistical test for a problem?

Can you explain how to generate confidence intervals around a mean using Python?

Could you explain your methodology for determining the fees for riders to use our service?

Explain the significance of precision and recall in the field of artificial intelligence, and how they can help in improving the accuracy of machine learning models. Also, mention some common limitations and challenges related to the use of these metrics in practice.

Is there anything you can tell me about attention mechanisms in neural networks?

What would you consider success?