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-based valuation method refers to the approach that quantifies the value of equity and data assets from multiple perspectives by adopting technologies such as ensemble learning algorithms, long short-term memory networks (LSTM), contrastive learning, and knowledge graphs, while incorporating eight Nobel Prize-winning economic research findings and state-of-the-art financial engineering practices. Here, we briefly illustrate the valuation principle of machine learning-based valuation methods using ensemble learning algorithms as the sole example.