所有机器学习者应该知道的5中回归损失函数(二)

There is not a single loss function that works for all kind of data. It depends on a number of factors including the presence of outliers,choice of machine learning algorithm, time efficiency of gradient descent, ease of finding the derivatives and confidence of predictions.The purpose of this blog series is to learn about diffierent losses and how each of them can help data scientists.

没有哪一个损失函数适合所有种类的数据。损失函数的选择主要包括以下因素：异常值的存在、算法类型、梯度下降的时间效率、求导的简易性和预测的可信度等。我的目的是想让大家了解不同的损失函数以及它们是如何帮助数据分析师的。

Loss functions can be broadly categorized into 2 types: Classification and Regression Loss. In this post, I’m focussing on regression loss.

损失函数大致可以分为两种：分类损失和回归损失。这次呢，我就聊一下回归损失函数。