随身听第17期:利用图技术助力风险识别管理
常见的金融风险大致可分为两个类型:可防可控风险和难防难控风险。金融风控技术的演进可以基于所需要处理的数据维度而抽象成从点到线再到面。也就是从人工审核到规则,到算法模型再到关联图谱。对应的技术分别是从数据分析到机器学习再到图谱应用。
常见的金融风险大致可分为两个类型:可防可控风险和难防难控风险。金融风控技术的演进可以基于所需要处理的数据维度而抽象成从点到线再到面。也就是从人工审核到规则,到算法模型再到关联图谱。对应的技术分别是从数据分析到机器学习再到图谱应用。
Anna Veronika Dorogus
Machine Learning Expert
Anna Veronika Dorogush graduated from Lomonosov Moscow State University and Yandex School of Data Analysis. She used to work at ABBYY, Yandex, Microsoft and Google on Machine Learning infrastructure and Machine Learning frameworks. In 2017 she published the open-source library CatBoost, which is now one of top-3 most popular Gradient Boosting libraries, and the top 7-th most used Machine Learning framework in the world according to Kaggle 2021 review.