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Designing Machine Learning Systems
Technology

Designing Machine Learning Systems

Chip Huyen

7 min read 4 key ideasPremium

The model is a small part of an ML system. This book covers the data, infrastructure, deployment, and monitoring that make ML work in production.

A guide to the engineering around ML models: framing problems, data engineering, feature engineering, training pipelines, deployment, monitoring, and the organizational side of ML.

Key takeaways

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Action checklist

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Final takeaway

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