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Match ML mistakes by their types

It is vital to spot situations where machine learning team might be too focused on the methodology or are just excited about the science behind the project, but the business case is not strong, or the company is not be ready to execute on the ML model outputs. Below you will see a few situations, and will have to identify which of the ML mistake types they belong to.

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Machine Learning for Business

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