From the course: Machine Learning and AI Foundations: Prediction, Causation, and Statistical Inference
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Hume on induction
From the course: Machine Learning and AI Foundations: Prediction, Causation, and Statistical Inference
Hume on induction
- [Instructor] David Hume usually gets the credit for starting the conversation about the problem of induction, and that's why his name is so often associated with these issues. He concludes that induction can't tell you very much with certainty, and that seems to endanger the whole notion of science. And although he lived many decades ago, centuries ago, really, it seems to undermine our ability to accomplish very much with machine learning as well. For Hume, causation is not something that we can directly perceive, which is important if you're an empiricist like Hume was. For him, all we could perceive was a constant conjunction, that's the phrase that's always used, and temporal priority. Those two phrases simply meaning that the cause and effect are observed together and that the cause must occur before the effect. If you've ever tried to read Hume, he loves to talk about billiards, so there's always a lot of…
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