The best algorithm always wins?

Simple statistical models, coupled with extremely large amounts of data, achieve better results than an “intellectually superior” model containing lots of features and summarizations.

In some cases, just crunching a bigger pile of data will achieve the best results.

It actually turns out that with enough data, sometimes the algorithm doesn’t matter.


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