A basic appreciation by anyone who builds machine learning models is that the model is not useful without useful data. This doesn’t change after a model is deployed to production. Effectively monitoring and retraining models with updated data is key to maintaining valuable ML solutions, and can be accomplished with effective approaches to production-level continuous training that is guided by the data.
Originally from KDnuggets https://ift.tt/3dhaJTJ
source https://365datascience.weebly.com/the-best-data-science-blog-2020/continuous-training-for-machine-learning-a-framework-for-a-successful-strategy
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