对布莱曼“两种文化”理论的再认识与反思
Breiman's "Two Cultures" Revisited and Reconciled
摘要：
在2001年发表的一篇具有里程碑意义的论文中，Leo Breiman描述了两种数据建模文化之间的紧张对峙：参数统计和算法机器学习。这两个统计学习框架之间的文化差异近年来一直在稳步增长。前进的道路是什么？显而易见的是，除非我们找到一种方法将“两种文化”融合成一个连贯的整体，否则就无法避免“两种文化”之间日益扩大的差距。本文提出了一个解决方案，通过建立两种文化之间的联系。通过例子，我们描述了这种新的综合统计思维的挑战和潜在收益。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
