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Define overfitting and underfitting in machine learning, and explain why they are important considerations in model development.

How do you determine the sample size for an A/B test, and what factors do you consider? How do you interpret the results of an A/B test, and what factors do you consider when deciding whether to implement the changes?

What is the process for plotting an ROC curve with predicted probabilities and true labels?

Why do many machine learning practitioners choose to use LSTM? Can you also provide some examples of how you've leveraged it in your personal projects?

What do you think does Stripe values in its employees?

Describe an experience where you led a team.

Discuss a conflict you had with your manager.

Do you know how to earn trust from your team?

Given a tree, find the maximum sum path through the root and return its sum.

How do you measure performance of computer vision models?