It would be very convenient (though mind-numbingly boring) if the content of our days was just a simple interpolation of things we had experienced hundreds of times before. We could train a deep learning model to replace us!
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How do we start looking for the science of AI rather than worrying about beating the SOTA of the engineering models of ML/DL?
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There are lots of ways of doing ML but one of the aims is to make generalisations
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Human learning is about fitting a static distribution to a dynamic instance to minimize the effort spent on commonalities and instead concentrate on the small manageable deviations. ML, as it stands, is just starting on the deviation part.
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