Statistical Learning Group, Fall 2014
Goals of the group
- Introduce advanced topics in data mining, machine learning, and other 'active' areas of statistics in order to broaden our knowledge base and, where possible, connect statistical ideas.
- Offer opportunities to present upper level topics and improve presentation and teaching ability with a focus on audience of the presentation and data visualizations.
- There will be 10 presentations made in fall 2014 (see below).
- Presenting 'mentors' will be available for the presenters.
- Give outlets for presentation, writing, and computing that are available for prospective employers to view.
- Each presentation will be recorded and made available (if ok'd by presenter).
- Write-ups and code will also be available.
- Improve applied analysis skills and coding.
- Every presentation will include an analysis or simulation aspect with code available for all members to work with.
Watch Neal's introduction to SLG here and see
00-Post, Justin's slides on an introduction to statistical learning (Sadly, Justin's talk is not available online because the video camera battery died halfway through, but we've learned our lesson!).
Schedule of talks
|00||09/05/14||Introduction||Neal Grantham & Justin Post|
|01||09/19/14||Regularization & Penalization||Brian Gaines|
|02||09/26/14||Penalization Methods||Joshua Day|
|03||10/03/14||Grouped & Adaptive LASSO||Will Burton|
|05||10/24/14||Bayesian Classification||Suchit Mehrotra|
|06||10/31/14||Decision Trees||Munir Winkel|
|07||11/07/14||Support Vector Machines||Jami Jackson|
|08||11/14/14||Ranking via SVMs||Brian Naughton|
|09||11/21/14||Discriminant Analysis||Huimin Peng|
|Done for the semester|