ar model、Non-linear model(deep Learning、SVM、decision tree、K-NN...)</span></p><center><img src="https://gitee.com/Sakura-gh/ML-notes/raw/master/img/learningMap.png" alt="learning map" style="width: 60%;"></center><h4><a name="supervised-learning监督学习" class="md-header-anchor"></a><span>Supervised Learning(监督学习)</span></h4><p><span>supervised learning 需要大量的training data，这些training data告诉我们说，一个我们要找的function，它的input和output之间有什么�