Our understanding of progress in machine learning has been colored by flawed testing data. The 10 most cited AI data sets are riddled with label errors, according to a new study out of MIT, and it’s ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now MIT researchers have concluded that the ...
OncotypeDx offers another example of potential harm when not considering basic demographics in large-scale data set analyses. OncotypeDX is a clinical test used to recommend chemotherapy as part of ...
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