感知机（Perceptron）
WIKI
In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers (functions that can decide whether an input, represented by a vector of numbers, belongs to some specific class or not).[1] It is a type of linear classifier, i.e. a classification algorithm that makes its predictions based on a linear predictor functioncombining a set of weights with the feature vector.
模型（model）
策略（strategy）
算法（algorithm）
随机梯度下降法