The machine learning world provides a lot of resources for how to tackle theoretical problems in different domains. However for real world solutions, there are many more elements to consider beyond merely finding the model with the best accuracy. These include selecting the best business metrics, development time, algorithmic complexity, gotomarket strategy, among others.
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