If machine learning isn't saving you money, you're doing it wrong

#artificialintelligence 

When a machine learning model misses something, its really easy to just think its a bug, or perhaps a defect in the model. It is vitally important you understand that that is not the case. False positives and false negatives are part and parcel of what machine learning is. It makes mistakes sometimes, just like we do. Every business has to be prepared for occasional false positives and negatives in machine learning.

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