报告题目：Mathematics in Machine Learning

报告时间：2023-3-23  14:30 - 15:30

报告人：张海樟 教授  中山大学

腾讯会议ID：402-625-891

Abstract: This talk intends to present the main mathematical knowledge and methods involved in machine learning. It begins with an introduction to machine learning and its applications, and discusses the far-reaching impact that machine learning can have. The main part of the report is to use support vector machines, generative adversarial networks, speech recognition, PageRank, deep neural networks as examples to introduce the mathematics in machine learning and to emphasize the important role of mathematics in artificial intelligence. Finally, the basic mathematics courses involved in machine learning, the curriculum system, and development direction of mathematics majors are discussed.