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It's funny because that's perfectly backwards. :)

Machine learning is a model of this thing we observe in ourselves. Don't mistake a picture of a pipe for the pipe itself.

http://en.wikipedia.org/wiki/The_Treachery_of_Images http://en.wikipedia.org/wiki/Reification_(fallacy)

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I'm not sure what your point is. What is the image, and what is the actual object?

I was replying to wting, but HN doesn't let me reply to a reply by the same author as a way to combat back-and-forth style arguments, I guess.

He said that experts doing that is "trained pattern matching gained through experience, i.e. machine learning."

But that's backwards: machine learning in this style is a model of something we observe in ourselves. The thing that's in us is the pipe, the machine learning algorithm is the picture.

You have to either wait a few more minutes till the "reply" link appears, or simply click on "link" link(!) and write your reply there.

Thanks! I've been an HN member for ~5 years and I didn't know this. :D

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