Juan  Luis  Cordero

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In other words, overfitting poses a danger any time we’re dealing with noise or mismeasurement—and we almost always are. There can be errors in how the data were collected, or in how they were reported.
Algorithms to Live By: The Computer Science of Human Decisions
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