: Plan for model drift and retraining . Summary : Summarize the trade-offs and future improvements. Popular Case Studies
: Decide if it's a classification, regression, or ranking problem. : Plan for model drift and retraining
: Design pipelines for data collection, ingestion, and feature engineering . : Plan for model drift and retraining
: Address how the model handles millions of users. : Plan for model drift and retraining
: Select appropriate algorithms and evaluation metrics (offline vs. online).