台湾ML笔记--1.2 formalize the learning probelm
Basic notations
input: x∈χ (customer application)
output: y∈y (good/bad after approving credit card)
target function (unknown pattern to be learned) : f: x→y (ideal credit approval formula)
data (training examples): D = {(x1,y1),(x2,y2),...,(xn,yn)} (historical records in bank)
hypothesis (skill with hopefully good performance) g: x→y (learned formula to be used)