lime 深度学习_用LIME解释机器学习预测并建立信任 一行摘要 (One line summary) 解释预测 (Explaining predictions) LIME如何工作？ (How does LIME work?) 与真实人类的用户研究 (User studies with real humans) 我的最后想法 (My final thoughts)

It’s needless to say: machine learning is powerful.

不用说：机器学习功能强大。

At the most basic level, machine learning algorithms can be used to classify things. Given a collection of cute animal pictures, a classifier can separate the pictures into buckets of ‘dog’ and ‘not a dog’. Given data about customer restaurant preferences, a classifier can predict what restaurant a user goes to next.

在最基本的层次上，机器学习算法可用于对事物进行分类 。 给定一组可爱的动物图片，分类器可以将图片分成“狗”和“不是狗”的桶。 给定有关客户餐厅偏好的数据，分类器可以预测用户将前往哪个餐厅。

However, the role of humans is overlooked in the technology. It does not matter how powerful a machine learning model is if one does not use it. With so little explanation or reasoning as to how these algorithms made their predictions, if users d