國立中山大學應用數學系 學術演講
講 者:潘建興教授 (中央研究院統計所)
講 題:Design and Analysis of Modern Experiments in the Era of Big Data and Artificial Intelligence
時 間:2021/11/11(Thursday)14:10 ~ 15:00 地 點:理 SC4009-1 教室
茶 會:13:30
Abstract
Traditional design and analysis of experiments have been popular in many industrial applications and field studies in the past decades, but they are inadequate to provide efficient experimentations nowadays in the era of big data analytics and artificial intelligence. In this talk, we first briefly review the basics of the design and analysis of experiments up to factorial designs, and we point out their limitations towards modern experiments due to their frameworks and underlying assumptions. Then we will intro duce several advanced design and analysis methods for modern experiments, and discuss how these advanced methods fulfill the specific needs and requirements in these modern experiments. These modern experiments include, but not limited to, testing experi ments in AI and robotics industry, network experiments, online controlled experiments, biomedical diagnosis, etc.
敬 請 公 告! 歡 迎 參 加!
應用數學系:http://math.nsysu.edu.tw
校園地圖:http://math.nsysu.edu.tw/var/file/183/1183/img/779/nsysu_math_map.jpg 交通資訊:https://www.nsysu.edu.tw/p/412-1000-4132.php?Lang=zh-tw
用數學系 校園地圖 交通資訊