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Manifold in Machine Learning?
Manifold is just a fancy way of in sub space. Usually sub space is associated with it, you know, being linear or something like this. But manifold can be whatever you want. And there are many examples in machine learning ere it's a fixed manifold. Yeti i guess though, it just seems to me like, in the high dimensional sense, it's so complicated that it what's the point in thinking about it like that?