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How do multiple layers in a model affect its performance and stability?

How would you architect a scalable search engine that can index billions of documents?

What optimization algorithms can you list from your repertoire? How would you tackle the challenge of optimizing a problem with a million variables? What is the principle behind the simplex algorithm in optimization?

What's the significance of Gradient Descent in the context of training deep learning models?

In which part of a neural network does the vanishing gradient tend to be a bigger issue: the initial layers or the ones at the end?

Design a solution for managing large-scale data migrations in a distributed environment.

Can you walk us through bias and variance in the context of decision trees? And, if possible, could you clarify which one is more difficult: high bias or high variance - and why that's so?

Can you elucidate how Ridge and Lasso contrast?

Create a centralized logging system for microservices.

How do neural nets differ from support vector machines, and when is one preferred over the other? What applications are they best for?