Keynote Presentation |
Concurrent Sessions |
Poster Sessions
Short Courses (full day) | Short Courses (half day) | Tutorials | Practical Computing Demos | Closing General Session with Refreshments
Short Courses (full day) | Short Courses (half day) | Tutorials | Practical Computing Demos | Closing General Session with Refreshments
| Thursday, February 15 | ||
| SC8 NISS Shortcourse: A Survey of Modern Data Science |
Thu, Feb 15, 1:30 PM - 5:30 PM
Salon D |
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| Instructor(s): David Banks, Dept. of Statistical Science, Duke University | ||
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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. The course next treats classification, with emphasis upon Random Forests, boosting, and ensemble strategies such as bagging, stacking and boosting.
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