Feature Engineering for Production ML: Feature Stores, Point-in-Time Correctness, and the Kaggle Gap
A practitioner's deep dive into feature engineering for production machine learning systems, covering feature stores, point-in-time correctness, data leakage prevention, automated feature generation, and the critical differences between Kaggle features and production features.
• Aryanto, M.Si