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Re - Release: How To Lose At Kaggle

Re - Release: How To Lose At Kaggle

We've got a classic for you this week as we take …

Linear Digressions

August 13, 201817m 54s

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Show Notes

We've got a classic for you this week as we take a week off for the dog days of summer. See you again next week! Competing in a machine learning competition on Kaggle is a kind of rite of passage for data scientists. Losing unexpectedly at the very end of the contest is also something that a lot of us have experienced. It's not just bad luck: a very specific combination of overfitting on popular competitions can take someone who is in the top few spots in the final days of a contest and bump them down hundreds of slots in the final tally.

Topics

datasciencemachinelearninglineardigressions