New - Designing Machine Learning Systems by Chip Huyen (O'Reilly, 2022) is a trade paperback textbook in English presenting a holistic, practical approach to designing reliable, scalable, maintainable, and adaptive ML systems. Topics include engineering and creating training data, feature selection, retraining cadence, monitoring, automating model development/evaluation/deployment/updates, architecting ML platforms, and developing responsible ML, all backed by case studies and an iterative framework.
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