I've learned in my course of linear algebra that we can find the best approximation of a continuous real function $f$ defined in $[a-r,a+r]$ ($a,r$ real numbers with $r>0$), by a polynomial $p_r$ of degree $n$ by taking the orthogonal projection of that function over the subspace of polynomials of degree $n$. But there is a polynomial $T$ of degree $n$ that gives us a better approximation of $f$ for points that are close enough to $a$, namely its taylor polynomial. In other words, if we restrict $f$ to some small (by "small" I mean "small enough so that this statement becames true") neighborhood of $a$ of radius $\epsilon$ its Taylor polynomial $T$ restricted to that neighborhood is a better approximation than the restriction of $p_r$ to that same neighborhood.
If now we compare $p_{\epsilon}$ instead of $p_r$, that is the orthogonal projection of $f$ restricted to the neighborhood of $a$ of radius $\epsilon$ over the subspace of polynomials of degree $n$ in that neighborhood, $p_{\epsilon}$ should be a better "global approximation" for that restriction of $f$ than the restriction of $T$. But again we can choose a smaller neighborhood of $a$ so that the resctriction of $T$ beats the restriction of $p_{\epsilon}$.
So, does it make sense to think of the Taylor polynomial of degree $n$ of $f$ around the point $a$ as the limit of $p_{\epsilon}$ as $\epsilon \to 0$?