Concept
Author's reasons behind criticism of Bayesian network
He thinks that current artificial intelligence research is stuck in probabilistic associations.
He expresses today's (in 2018) artificial intelligence is powered up versions of what machines could do three decades ago. He defines the machines as "finding hidden regularities in large sets of data"
He is not impressed by the current achievements in deep learning as it only amounts to just intensive curve fitting.
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Updated 2020-03-14
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Data Science