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bayesian statistics.

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

Building robust AI systems: Is an artificial intelligent agent just a probabilistic boolean function?

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Preamble    George Boole (Wikipedia)Agent, AI agent or an intelligent agent is used often to describe algorithms or AI systems that are released by research teams recently. However, the definition of an intelligent agent (IA) is a bit opaque. Naïvely thinking, it is nothing more than a decision...

functional programming causality deep learning reinforcement learning interpretable machine learning connectionist learning robustness bayesian statistics.