: Outline how to gather data, handle messy real-world inputs, and perform feature engineering.
Crucially, he provides an : Offline metrics (AUC, LogLoss) vs. Online metrics (Engagement, Revenue). machine learning system design interview ali aminian pdf
: Plan for scalable deployment, including model serving infrastructure and latency optimization. : Outline how to gather data, handle messy
: Deep dive into specific components like model serving, latency requirements, and infrastructure setup. : Outline how to gather data
: Select the appropriate ML type (e.g., classification, ranking) and discuss trade-offs between different architectures.