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Continual Learning: Which metrics are important?

5 minute read

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One of the most difficult things to identify throughout the lifecycle of a deployed machine learning model is: โ€œwhen do I need to retrain my model?โ€. The most important thing is to use monitoring and observability to determine when a model is no longer performing well on offline data. The key questions you need to ask yourself as an ML Engineer are:

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Undergraduate course, University 1, Department, 2014

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Workshop, University 1, Department, 2015

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