图灵估值

机器学习估值法是指采用集成学习算法、长短期记忆网络、对比学习和知识图谱等技术，结合8项诺贝尔经济学奖研究成果和先进的金融工程实践，从多个角度对股权及数据资产价值进行量化。现仅以集成学习算法为例概要说明机器学习方法的估值原理。

Machine learning valuation method is defined as a quantitative approach that utilizes technologies including ensemble learning algorithms, Long Short-Term Memory (LSTM) networks, contrastive learning, and knowledge graphs, integrates eight Nobel Memorial Prize in Economic Sciences-winning research findings and cutting-edge financial engineering practices, to quantify the value of equity and data assets from multiple perspectives. Here, we take ensemble learning algorithms as an example to briefly elaborate on the valuation principle of the machine learning valuation method.