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This is exactly right.

When I was teaching machine learning classes, the biggest hurdle I had to get a lot of students over was their history and expectation that they can implement something, fix the compiler errors, fix the runtime crashes, and then just declare victory. Machine Learning is basically the study of getting a computer do give you an answer you don't know, so you have to be in this constant state of defensiveness, never quite trusting that things are correct.




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