On May 21, Prof. David Banks (Duke University) will deliver a short course on
Data Mining and Machine Learning
in the Department of Mathematical Sciences at Durham University.
Registration for the short course is possible via the webpage for the 44th Scottish and Northumbrian Academic Statisticians' (S&N) Meeting
https://www.dur.ac.uk/mathematical.sciences/stats/snasm/
The registration fee for the short course is only £10, and free for registered attendees of the S&N. For the S&N, there is an early-bird registration deadline of March 31. (The S&N will take place in the Department of Mathematical Sciences at Durham University on May 22nd.)
If you have any questions, please contact Dr Jonathan Cumming,
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More details on the short course to follow below.
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Title: Data Mining and Machine Learning
Instructor: David Banks, Professor, Dept. of Statistical Science, Duke University
Date/Time: Thursday, 21th May 2015, 10.30 to 17.00 at Durham University
Fees: FREE for all registered attendees of S&N 2015. £10 (contribution to catering) otherwise.
Scope: Modern Machine Learning with an applications perspective, especially with examples from text mining and business analytics. Topics include nonparametric regression, the Curse of Dimensionality, the bootstrap, cross-validation, variable selection in the context of L^0, L^1, and L^2 norms, wavelets, nonparametric classification (boosting, bagging, stacking, Random Forests, Support Vector Machines), Latent Dirichlet Allocation for text mining, and, if time permits, cluster analysis and multidimensional scaling.
Background Needed: A mid-level knowledge of regression, an introductory course in statistical inference, and it helps to be familiar with a statistical package, such as SAS or R.
Target Audience: The course is particularly aimed at postgraduate students in statistics and related fields. We would expect the participants to be M.S. statisticians or people with comparable backgrounds in computer science or math or some fields of engineering. If you have a Ph.D. in statistics, some of the content will be familiar already.
Bio: David Banks is a professor in the Department of Statistical Science at Duke University. He obtained his Ph.D. from Virginia Tech in 1984, then did two-year postdoctoral research fellowship with David Blackwell at the University of California at Berkeley. He spent a year as a visiting assistant lecturer at the University of Cambridge before joining the Department of Statistics at Carnegie Mellon. In 1997 he left Carnegie Mellon for the federal government, and worked in three agencies: the National Institute of Standards and Technology, the Department of Transportation, and the Food and Drug Administration. In 2003 he returned to academics at Duke University.
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