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Feedback loops and emergent behavior

The best machine learning projects are rife with potential feedback loops.

It is important to see machine learning projects  as agile ongoing processes rather than one-off projects and to recognize that these feedback loops are critical to creating sustained business value.

If you focus too narrowly on model optimization  than you might feel that these feedback loops are annoyance rather than assets.

Typical examples include:


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