制造业系列研讨会共包含3期，分别围绕打造更具韧性的制造价值链、优化产品定价策略、呆滞物料管理和优化。每期都会结合实际业务场景，由浅入深。点击查看，如何借助图分析加速供应链智能化？
今天的随身听，我们将主要围绕“洞察”这个主题进行讨论。在这本O'Reilly电子书的机器学习章节中，您可以详细地看到图如何增强机器学习的中心阶段，即特征提取和所有重要的模型训练。这些独特的图特征为机器学习提供了更好的构建模型的原材料。
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.
