|Applied ML in Production · Made With ML
If are are planning to use this as a guide for applying ML in production, be aware that it takes a lot of effort (initial, maintenance, adaptation) compared to deploying traditional software. The use case should demand large scale experimentation where small improvements provide large business impact.
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