Practices
Collect performance dataWays of deploying your modelHow often do you deploy a model?Keep a versioned model repositoryMeasure and proactively evaluate quality of training dataTesting through the ML pipelineBusiness impact is more than just accuracy - understand your baselineRegularly monitor your model in productionMonitor data qualityAutomate the model lifecycleCreate a walking skeleton/steel threadAppropriately optimise models for inference
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