Eric Eskin

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This reflects a general concern that algorithms that win Kaggle competitions tend to be very complex in order to achieve that tiny final margin needed to win. A major problem is that these algorithms tend to be inscrutable black boxes—they come up with a prediction, but it is almost impossible to work out what is going on inside. This has three negative aspects.
The Art of Statistics: How to Learn from Data
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