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Master Algorithm. It doesn’t require us to figure out how evolution or the brain works, and it avoids the mathematical complexities of Bayesianism. Sets of rules and decision trees are easy to understand, so we know what the learner is up to. This makes it easier to figure out what it’s doing right and wrong, fix the latter, and have confidence in
... See morePedro Domingos • The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
Nature of the problem (Regression, Classification, Clustering, etc.) – Number of data records available for training – Decision support or cognitive use case? – Need for explain-ability