Single-variable calculus from first principles
Taylor's real payoff in ML is linearisation: replacing a stubborn nonlinear function with its tangent line near a point of interest. Over a small range the linear approximation is nearly exact, and linear things are far easier to analyse, compute, and reason about.
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