1/ I kinda want to try teach a class or writing a book on machine learning where the only datasets you use, you have to generate. Like, not acquire and clean. But describe and sample. Direct and indirect problem, at once.
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2/ Like, I get the value of concrete examples. But is petal lengths really it? Besides, earning intuition for what you can and what is hard to recover is more difficult when the cool example was selected specifically because a method works well on it.
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