報告主題: Big Data Analysis 大數據分析
報告專家🏌🏽♀️：霍曉明教授
報告時間：2016年6月11日-12日，8:30-11:45,13:15-16:00
報告地點💬：行政樓912（6月11號）🔢，實訓樓1419（6月12號）
內容介紹：
Introduction to methods that are being used in big data and analytics. Specific topics may include (subject to time availability)
Computational Implementation in regression
Overview of Software: R.
Principal component analysis
Factor analysis
Bisection
Newton's method
Splines
Tree based methods
Generating Random deviates
Monte-Carlo Markov Chain
Linear discriminant analysis
Logistic regression
Hidden Markov models
Support vector machines
Boostrapping and resampling
專家介紹：
Xiaoming Huo is a professor at the Stewart School of Industrial & Systems Engineering at Georgia Tech. Dr. Huo's research interests include statistical theory, statistical computing, and issues related to data analytics. He has made numerous contributions on topics such as sparse representation, wavelets, and statistical problems in detectability. His papers appeared in top journals, and some of them are highly cited. He is a senior member of IEEE since May 2004. He won the Georgia Tech Sigma Xi Young Faculty Award in 2005. His work has led to an interview by Emerging Research Fronts in June 2006 in the field of Mathematics - every two months, one paper is selected.
Dr. Huo received the B.S. degree in mathematics from the University of Science and Technology, China, in 1993, and the M.S. degree in electrical engineering and the Ph.D. degree in statistics from Stanford University, Stanford, CA, in 1997 and 1999, respectively. Since August 1999, he has been an Assistant/Associate/Full Professor with the School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta. He represented China in the 30th International Mathematical Olympiad (IMO), which was held in Braunschweig, Germany, in 1989, and received a golden prize. Dr. Huo was a Visiting Fellow at the Institute for Pure and Applied Mathematics at the University of California, Los Angeles in the fall of 2004. From August 2013 to August 2015, he served the US National Science Foundation as a Program Director in the Division of Mathematical Sciences (DMS). Dr. Huo has presented keynote talks in major conferences (e.g., The 2nd IEEE Global Conference on Signal and Information Processing, Atlanta, GA, and the IMA-HK-IAS Joint program on statistics and computational interfaces to big data, The Hong Kong University of Science and Technology, Hong Kong, etc.) and numerous invited colloquia and seminar presentations in the US, Asia, and Europe. Dr. Huo has organized/co-organized sessions/workshop in various statistical conferences.
