The 10 Reasons Most Machine Learning Funds Fail
基于作者经验，总结了量化金融中机器学习应用失败的10个关键错误，帮助投资者和从业者理解高失败率背后的原因。
The rate of failure in quantitative finance is high, particularly in financial machine learning applications. The few managers who succeed amass a large amount of assets and deliver consistently exceptional performance to their investors. However, that is a rare outcome, for reasons that the author explains in this article. In the author9s experience, 10 critical mistakes underlie those failures. <b>TOPIC:</b>Big data/machine learning