论文标题
布雷曼的“两种文化”重新审视与和解
Breiman's "Two Cultures" Revisited and Reconciled
论文作者
论文摘要
利奥·布雷曼（Leo Breiman）在2001年发表的具有里程碑意义的论文中描述了两种数据建模培养物之间的时态对峙：参数统计和算法机器学习。近年来，这两个统计学习框架之间的文化划分一直在稳步增长。前进的道路是什么？很明显的是，“两种文化”之间的这种扩大差距不能避免，除非我们找到一种将它们融合到一个连贯的整体中的方法。本文通过在两种文化之间建立联系来提出解决方案。通过示例，我们描述了这种新的综合统计思维的挑战和潜在收益。
In a landmark paper published in 2001, Leo Breiman described the tense standoff between two cultures of data modeling: parametric statistical and algorithmic machine learning. The cultural division between these two statistical learning frameworks has been growing at a steady pace in recent years. What is the way forward? It has become blatantly obvious that this widening gap between "the two cultures" cannot be averted unless we find a way to blend them into a coherent whole. This article presents a solution by establishing a link between the two cultures. Through examples, we describe the challenges and potential gains of this new integrated statistical thinking.
