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Testing and Validating Machine Learning Models when Deploying to Production


Through model deployment, we bridge the gap between the research environment and live systems. Reproducibility between environments is key to maximise the researched value the ML models will bring to an organisation. Therefore, before the models are fully integrated and live, we run thorough testing and reconciliation processes.


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