Evidently AI - ML system design: 200 case studies

Real-world ML systems

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Selection criteria. Here is how we selected the case studies to include:

It is a blog, paper, or article about a machine learning system created in-house (not by a vendor that sells or implements ML solutions for others).
It has sufficient detail on the ML use case and implementation: who the model is for, the ML model design, evaluation criteria, deployment architecture, etc. The more, the better.
It covers a real-world ML system that is used in production.
It describes one particular ML use case. There are only a few exceptions that detail multiple ML projects at once — about causal ML or generative AI, for example.

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ML system design: 200 case studies to learn from

Real-world ML systems

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