Rob Tibshirani
2003-Jan-06 07:09 UTC
[R] Statistical Learning and Data Mining short course
I thought this might be of interest to R users: Short course: Statistical Learning and Data Mining Trevor Hastie and Robert Tibshirani Stanford University Sheraton Hotel, Palo Alto, California February 27-28, 2003 This two-day course gives a detailed overview of statistical models for data mining, inference and prediction. 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. Applications to genomics, marketing and engineering are discussed. The first course is not a pre-requisite for this new course. Much of the material is based on our recent 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. For more information on the course, and registration information, go to the site http://www-stat.stanford.edu/~hastie/mrc.html ********************************************** 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 tibs at stat.stanford.edu http://www-stat.stanford.edu/~tibs