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. Loss of access can also indirectly demonstrate how valuable data is: the impact of a data mishap on a company’s market cap is observable.
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