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@ -3,7 +3,7 @@ Based on [[https://schlockmercenary.fandom.com/wiki/The_Seventy_Maxims_of_Maxima
*. Preprocess, then train.
*. A training loop in motion outranks a perfect architecture that isn’t implemented.
*. A debugger with a stack trace outranks everyone else.
*. Regularization covers a multitude of overfitting sins.
*. Regularization covers a multitude of sins.
*. Feature importance and data leakage should be easier to tell apart.
*. If increasing model complexity wasn’t your last resort, you failed to add enough layers.
*. If the accuracy is high enough, stakeholders will stop complaining about the compute costs.