The 2018 American Statistical Association Conference on Statistical Practice aims to bring together hundreds of statistical practitioners and data scientists—including data analysts, researchers, and scientists—who engage in the application of statistics to solve real-world problems on a daily basis. The goal of the conference is to provide participants with opportunities to learn new statistical methodologies and best practices in statistical analysis, design, consulting, and programming.
NISS Half-Day Short Course
David Banks, NISS Assistant Director and Professor of the Practice of Statistics at Duke University, will be teaching a half-day short course on "A Survey of Modern Data Science."
Modern data science is driven by applications, and these often entail Big Data and machine learning perspectives. This short course reviews key ideas and methods in nonparametric regression(starting with cross-validation and light bootstrap asymptotics, then moving on to the additive model, the generalized additive model, and neural networks. It also covers variable selection, with the Lasso and the Median Model, and describes the p >> n problem in the context of contributions by Candes and Tao, Donoho and Tanner, and Wainwright.
Objectives of the course
The course intends to convey the intuition and heuristics that underlay the evolution of data mining, machine learning, and data science from the 1990s to the present day. The target audience
is MS-level practitioners who have some comfort with regression analysis.