Cleveland Chapter of the ASAThirty-first seminar in a series on
Tools for Regaining the Competitive Edge
Dedicated to the memory of
Friday, May 19, 2017
Introduction to Statistical Machine Learning and Its Applications
A One-Day Seminar Taught by
Yufeng Liu, Ph.D., ASA Fellow
About the Seminar:Statistical machine learning is an interdisciplinary research area which is closely related to statistics, computer science, engineering, and bioinformatics. Many statistical machine learning techniques and algorithms are very useful for various scientific areas. This full day short course will provide an overview of statistical machine learning techniques with applications to the analysis of big biomedical data.
Both supervised and unsupervised techniques will be covered. Supervised learning techniques include penalized regression such as LASSO and it variants, support vector machines, Boosting, and tree-based methods. Unsupervised learning techniques include dimension reduction methods such as principal components analysis, clustering analysis, and network analysis with graphical models.
Various application examples will be discussed as well. The techniques discussed will be demonstrated in R.
About the Instructor
Yufeng Liu is currently a professor in Department of Statistics and Operations Research, Department of Biostatistics, and Department of Genetics at UNC- Chapel Hill. His current research interests include statistical machine learning, high dimensional data analysis, and bioinformatics. He has taught statistical machine learning courses multiple times at UNC, as well as short courses on this subject at Joint Statistical Meetings, ENAR, and Biostatistics Summer Institutes at University of Washington.
Dr. Liu received the CAREER Award from the National Science Foundation in 2008, Ruth and Phillip Hettleman Prize for Artistic and Scholarly Achievement in 2010, and the inaugural Leo Breiman Junior Award in 2017. He served as the chair for the Section on Statistical Learning and Data Science at The American Statistical Association in 2015, and is currently a Fellow in the American Statistical Association and an elected member of the International Statistical Institute.
Location and Time:
Agenda for the Day
Full participation in this seminar can result in Recertification Units (R.U.s) earned towards maintenance of ASQ certification requirements.