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What is your approach for identifying shared ancestors between two separate individuals in a genealogy tree?

What was your approach to removing multicollinearity from your predictive models?

Build a real-time query processing system for natural language inputs.

Why is it necessary to use regularization methods in machine learning?

Can you create a Python function that adjusts the stream count for songs with a markdown rate?

Build a scalable and reliable distributed scheduler.

Develop a distributed system for tracing and monitoring services.

Could you outline the distinctions between neural networks and support vector machines in terms of their usage? What kinds of problems are they ideally suited for solving?

What do the training and loss graphs signify for a neural network? How do different loss functions influence the shape of the loss graph, and what are some widely utilized ones? How do the training and loss graphs differ, and what do they contribute towards optimizing and augmenting model performance?

Could you demonstrate how to create and display a random normal distribution using a function?