Designing Machine Learning Systems
A reference book on ML system design authored by Chip Huyen. The book systematically covers the end-to-end process of building production machine learning systems, including data engineering, feature engineering, model selection, production deployment, and monitoring. It is widely recommended by practitioners as a comprehensive guide to applied machine learning engineering.
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Chip Huyen's Designing Machine Learning Systems is widely regarded as the authoritative introductory book on ML system design.
Chip Huyen于2022年出版了《Designing Machine Learning Systems》一书，被业界视为ML系统设计的权威著作
Chip Huyen published "Designing Machine Learning Systems" in 2022, systematically covering core ML system topics including data engineering, feature engineering, model development, deployment patterns, data distribution shift, and continual learning.
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Chip Huyen published "Designing Machine Learning Systems" in 2022, systematically covering core ML system topics including data engineering, feature engineering, model development, deployment patterns, data distribution shift, and continual learning.
70%UnverifiedChip Huyen's Designing Machine Learning Systems is widely regarded as the authoritative introductory book on ML system design.
50%UnverifiedChip Huyen于2022年出版了《Designing Machine Learning Systems》一书，被业界视为ML系统设计的权威著作
50%