Incorporate Load Balancers, API Gateways, Distributed Caching (Redis) for fast feature retrieval, and Model Registries (MLflow).
Where does the data come from? (e.g., user profile databases, real-time activity logs, item metadata). Feature Engineering: Define categories of features: Machine Learning System Design Interview Pdf Github
: Found within the Machine-Learning-Study-Guide repo, this PDF provides a high-level overview of themes required for a successful interview response. Incorporate Load Balancers
Categorize your features into static (user age, item category) and dynamic (user's last 5 clicks, current time of day). user profile databases