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Could you code a function to calculate the root mean squared error between two arrays?

Design a content moderation system.

Where in a neural network is the vanishing gradient issue most prevalent, near the start or the end?

What are some techniques you use to effectively share the insights of machine learning with stakeholders?

Design a microblogging platform similar to Twitter.

Design an auto-suggest feature for search engines.

Build a distributed system for efficient data replication.

What do the training and loss graphs convey about a neural network? How do different loss functions affect the shape of the loss graph, and what are some frequently adopted ones? How do the training and loss graphs differ, and what part do they play in optimizing and improving model performance?

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?

Could you demonstrate how to code a six-sided die roll simulation and ensure its fairness?