> A more charitable take on machine learning: you decide that your criterion is predictive accuracy, and you evaluate it on a holdout set (or you cross-validate

> A more charitable take on machine learning: you decide that your criterion is predictive accuracy, and you evaluate it on a holdout set (or you cross-validate). I'm doing a PhD in machine learning, so I quite realize. But it's Bayesian machine learning!