Wage against the machine: A generalized deep-learning market test of dataset value
本文提出一种利用深度学习和博彩市场检验体育数据集价值的方法，以NBA数据为例，证明新数据集能提供超越常规统计的信息并产生盈利。
How can you tell whether a particular sports dataset really adds value, particularly with regard to betting effectiveness? The method introduced in this paper provides a way for any analyst in almost any sport to attempt to determine the additional value of almost any dataset. It relies on the use of deep learning, comprehensive historical box score statistics, and the existence of betting markets. When the method is applied as an illustration to a novel dataset for the NBA, it is shown to provide more information than regular box score statistics alone, and appears to generate above-breakeven wagering profits.