Abstract
You may have developed a model that meets your customers’ needs and earns their trust. Keeping that trust, however, requires you to ensure that your model continues to perform as close to its peak efficacy as possible throughout its lifecycle. To make sure that happens, models need surveillance and maintenance.
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Notes
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© 2019 Robert de Graaf
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de Graaf, R. (2019). Reliable Models. In: Managing Your Data Science Projects. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4907-9_5
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DOI: https://doi.org/10.1007/978-1-4842-4907-9_5
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