evalutionary computation

Nov 16 2025

Why the simplest explanation is always the best

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PreambleThe simplest explanation is always the best among the explanations that are representative.  It is called the principle of parsimony,  Occam's razor. It is the bedrock of scientific enlightenment. There is a recent development that people start to do a category error to discard this...

machine learning data science overfitting complexity complexity theory interpretable machine learning bayesian statistics. statistical models evalutionary computation overgenearlisation

Mar 20 2021

Computable function analogs of natural learning and intelligence may not exist

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Optimal learning : Meta-optimization Many papers directly equate “machine” learning problem, algorithmic learning oppose to human or animal learning, with optimisation problem. Unfortunately, contrary to common belief  machine learning is not an optimisation problem. For example, take optimal...

machine learning data science optimization evalutionary computation