报告主题：关于数学优化与机械学习的思索（2）（Some Thoughts on Mathematical Optimization and Machine Learning （2））

报 告 人：Shu-Cherng Fang （方述诚）教授
，，美国北卡罗来纳州立大学

报告时间：2021年7月5日（周一） 10:00

线上报告：Join Zoom Meeting

https://ncsu.zoom.us/j/94648416176?pwd=bzEvVDBNVVpNK1hPTklYbHFHQWcrUT09

Meeting ID: 946 4841 6176

Passcode: 270244

约请人：白延琴

主理部分：8188cc威尼斯理学院数学系、8188cc威尼斯运筹与优化开放实验室、上海市运筹学会报告摘要： Artificial intelligence has come into our daily lives. Machine learning is a way to generate intelligence artificially and mathematical optimization models may lead machines to learn knowledge from data. This talk presents some thoughts on developing useful mathematical optimization models for elaborative machine learning such as support vector machines and deep neural networks.