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Pedro Domingos

“At the heart of his explorations in probability was a preoccupation with Hume’s question. For example, how do we know the sun will rise tomorrow? It has done so every day until today, but that’s no guarantee it will continue. Laplace’s answer had two parts. The first is what we now call the principle of indifference, or principle of insufficient reason. We wake up one day—at the beginning of time, let’s say, which for Laplace was five thousand years or so ago—and after a beautiful afternoon, we see the sun go down. Will it come back? We’ve never seen the sun rise, and there is no particular reason to believe it will or won’t. Therefore we should consider the two scenarios equally likely and say that the sun will rise again with a probability of one-half. But, Laplace went on, if the past is any guide to the future, every day that the sun rises should increase our confidence that it will continue to do so. After five thousand years, the probability that the sun will rise yet again tomorrow should be very close to one, but not quite there, since we can never be completely certain. From this thought experiment, Laplace derived his so-called rule of succession, which estimates the probability that the sun will rise again after having risen n times as (n + 1) / (n + 2). When n = 0, this is just ½; and as n increases, so does the probability, approaching 1 when n approaches infinity.”

Pedro Domingos, The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
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The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World by Pedro Domingos
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