Is there a linear way to fit Exp+polynomial function?

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I have function which looks like this:

f(x)= a Exp[x] + b x^2 + c x + d

Currently, I'm fitting it to data using nonlinear regression. The method works fine, but I'm wondering if there is a better way to do this.

Is there any method which would solve this problem in linear time?