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How would you approach selecting between Ridge and Lasso regression when presented with a regression problem?

Architect a system for handling distributed secrets securely.

Return the sum of the maximum sum path that goes through the root of a given tree.

Build a real-time leaderboard for online games.

When presented with a high-dimensional dataset in a machine learning challenge, how would you approach it?

How would you compare and contrast supervised, unsupervised, and reinforcement learning techniques?

Outline the components of a distributed load balancing system that ensures session persistence and SSL termination.

Could you explain why regularization is important in machine learning algorithms?

If you were tasked with developing a demand forecasting model for a ride-sharing service, what approach would you take? What data sources and factors would you consider, and how would you ensure the model's accuracy?

Can you develop a routine to detect all possible anagrams of a particular string?