Data collection and data markets in the age of privacy and machine learning
O'Reilly Media - Data
JULY 18, 2018
In the early phases of adopting machine learning (ML), companies focus on making sure they have sufficient amount of labeled (training) data for the applications they want to tackle. We also know exactly how much it costs to build training data sets from scratch. But if data is precious, how do we go about estimating its value?
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