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Is There a Curse in Machine Learning?
In machine learning, we're trying to find a function. And if that class is too big, we'll be searching forever. So what we could do is reduce the size of functions we're searching through. But then et that introduces approximation era. Because even if we find the best function in that space, it might not have enough fidelity to represent the actual function that we want to er learn.