"Machine Learning can give you an edge, but probably not an edge so huge that it allows you to ignore other factors. You still need to build good infrastructure, collect good data, and have low latencies."
Read it!While implementing retraining on a set cadence is easier, dynamic retraining can prevent models from becoming outdated and optimize computational costs.
Read it!"Effective testing for machine learning systems requires both a traditional software testing suite (for model development infrastructure) and a model testing suite (for trained models)."
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