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Heads up : Article is not talking about a practical production deployment of ML as the title suggests .

Where would I find such an article, something that explains how I might go from "I've got a Jupyter notebook that gives me results I like" to 'I'm running those calculations in a production system'?

Take a look at Google's "Best Practices for ML Engineering" [1] and "Machine Learning: The High Interest Credit Card of Technical Debt" [2]. They are not tutorials, but cover a number of interesting topics related to deployment of machine learning models to production.

[1] https://news.ycombinator.com/item?id=13414776

[2] https://news.ycombinator.com/item?id=10338575

Thanks, I'll dig into those

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