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How would you architect a scalable feature flag management system for a large-scale application?

What methods do Machine Learning practitioners use to reduce dimensionality? Could you provide specific examples of these techniques in practice?

What steps does a bounding box regressor take to localize objects in images?

Design a system for managing a distributed lock service.

How do you address the difficulties that arise when training deep neural networks with multiple layers?

When considering the vanishing gradient issue, does ReLU or sigmoid provide a more effective remedy?

Can you name a few optimization algorithms you are familiar with? What's your approach to managing a high-dimensional space with a million variables in optimization? Can you explain the simplex method used in optimization problems?

Which loss functions are you experienced with within the context of machine learning models?

Create a leaderboard system for tracking game scores.

What are the leading indicators predicting rider demands, according to you?