- Designing Machine Learning Systems - Chip Huyen - 2022 - End-to-end ML system design: data, training, deployment, monitoring, and iteration.
- Introducing MLOps - Treveil, Sharif & Meissner - 2020 - Practical MLOps: model versioning, drift detection, and CI/CD for ML pipelines.
- Feature Engineering for Machine Learning - Alice Zheng & Amanda Casari - 2018 - How to transform raw data into features that actually improve model performance.