Is this seminar free? This being advertised in newsgroups where commercial advertising is unwelcome, I wanted to check.
Vincent Granville, Ph.D. www.datashaping.com Rob Tibshirani wrote: > Short course: Statistical Learning and Data Mining > > Trevor Hastie and Robert Tibshirani, Stanford University > > University Park Hotel @ MIT > Cambridge, MA, > September 15-16, 2003 > > This two-day course gives a detailed overview of statistical models > for data mining, inference and prediction. With the rapid > developments in internet technology, genomics and other high-tech > industries, we rely increasingly more on data analysis and statistical > models to exploit the vast amounts of data at our fingertips. > > This sequel to our popular "Modern Regression and Classification" > course covers many new areas of unsupervised learning and data mining, > and gives an in-depth treatment of some of the hottest tools in > supervised learning. > > The first course is not a prerequisite for this new course. > > Day one focuses on state-of-art methods for supervised > learning, including PRIM, boosting, support vector machines, > and very recent work on least angle regression and the lasso. > > Day two covers unsupervised learning, including clustering, principal > components, principal curves and self-organizing maps. Many > applications will be discussed, including the analysis of DNA > expression arrays - one of the hottest new areas in biology! > > ################################################### > Much of the material is based on the best selling book: > > Elements of Statistical Learning: data mining, inference and prediction > > Hastie, Tibshirani & Friedman, Springer-Verlag, 2001 > > http://www-stat.stanford.edu/ElemStatLearn/ > > A copy of this book will be given to all attendees. > > ################################################### > > Go to the site > > http://www-stat.stanford.edu/~hastie/mrc.html > > for more information and online registration. > > -- > ********************************************** > Rob Tibshirani, Dept of Health Research & Policy > and Dept of Statistics > HRP Redwood Bldg > Stanford University > Stanford, California 94305-5405 > > phone: HRP: 650-723-7264 (Voice mail), Statistics 650-723-1185 > FAX 650-725-8977 > [EMAIL PROTECTED] > http://www-stat.stanford.edu/~tibs . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
