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How would you craft a recommendation service that reflects a user's auditory preferences, and what historical listening details would you leverage?

What do you know about regularization and its role in machine learning?

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?

Architect a platform for tracking and resolving customer support tickets.

Design a graph database management system for distributed setups.

Can you design a Python class that serves as an iterator over sequences?

How do you tackle the issue of high cardinality within categorical data fields?

If you were building a system that needed to manage a large amount of frequently accessed data, would you consider implementing an LRU cache? Why or why not?

What is your understanding of an attention model?

Would you be willing to demonstrate your understanding of KNN classifiers through construction?