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164 - What is Data Science?

Not So Standard Deviations

00:00

Machine Learning

It's almost like we kind of assume now that theseike mse machine learning alger thems, you know, they work to a certain degree. None of them are, like, nothing's perfect, right? Bute, except that they generate some errors. Ah, and then we just live with it, right? Ye, exactly. From application to application, you you intuitively, or like, systematically, learn where things fail. And if you build the black boxes well enough, you can creat feedback loops or whatever to make sure that the user can't go that far off the rails and make too many wrong not, i was non to say, assumptions,. Not check conditions

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