Machine Learning Day
You are invited to Arizona State University’s West campus for the Annual Machine Learning Day in an interactive virtual event!
Some Unique Problems with Social Media Data for Machine Learning and AI
Keynote speaker: Huan Liu, ASU
Abstract: Social media data is distinctive from its traditional counterpart and opens the door for interdisciplinary research and allows researchers to collectively study large-scale human behavior otherwise impossible. The study of social media data brings about new challenges for machine learning and data mining. In this talk, we will introduce some unique issues of big social media data, e.g., the big data paradox, the privacy-utility ‘trade-off’ and the evaluation dilemma. We will also mention some efforts of using AI for good if time allows. With data abundance and algorithmic development, we are better equipped than ever to answer challenging and novel research questions and advance AI and CS.
Bio: Dr. Huan Liu is a professor of computer science and engineering at Arizona State University. He was recognized for excellence in teaching and research in computer science and engineering at ASU. His research interests include AI, data mining, machine learning, social computing and data science to investigate problems that arise in real-world applications with high-dimensional data of disparate forms. He is a co-author of the textbook, Social Media Mining: An Introduction, by Cambridge University Press. He is field chief editor of frontiers in Big Data, its specialty chief editor of Data Mining and Management and a founding organizer of the International Conference Series on Social Computing, Behavioral-Cultural Modeling, and Prediction. He is a fellow of ACM, AAAI, AAAS and IEEE.
Important things to know:
- Event is free.
- Registration is required.