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Date:         Fri, 5 Feb 1999 05:39:03 GMT
Reply-To:     Rob Tibshirani <tibs@STAT.STANFORD.EDU>
Sender:       "SAS(r) Discussion" <SAS-L@UGA.CC.UGA.EDU>
From:         Rob Tibshirani <tibs@STAT.STANFORD.EDU>
Organization: Department of Statistics, Stanford University
Subject:      Modern Regression and Classification course, Menlo Park- Overflow

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++ +++

+++ Modern Regression and Classification: +++ +++ +++ +++ Widely applicable statistical methods +++ +++ for modeling and prediction +++ +++ +++ +++ ***OVERFLOW COURSE**** +++ +++ +++ +++ Stanford Park Hotel, Menlo Park, CA Mar 29-30, 1999 +++ +++ +++ +++ Trevor Hastie, +++ +++ Rob Tibshirani, Stanford University +++ +++ +++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Our Mar 1-2 course is completely full, so we have scheduled an overflow course at the same location, Mar 29-30.

This two-day course will give a detailed overview of statistical models for regression and classification. Known as machine-learning in computer science and artificial intelligence, and pattern recognition in engineering, this is a hot field with powerful applications in finance, science and industry.

This is a very popular course, normally offered only twice a year in the U.S.

At our recent course in Chicago, participants were asked to rate the course on a scale from 1 (poor) to 5 (outstanding).

The median score was 5! [The mean was 4.6, with a sample size of 55]

For further information and registration forms see

http://www-stat.stanford.edu/~trevor/mrc.html

or email to Professor Trevor Hastie (trevor@stat.stanford.edu) or Professor Robert Tibshirani (tibs@stat.stanford.edu) and ask for full details,

or contact Prof. Trevor Hastie Stanford University CA Phone/FAX: (650) 326-0854

This course is filling up quickly, so sign up soon to ensure a spot!

-- ********************************************** 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 tibs@stat.stanford.edu http://www-stat.stanford.edu/~tibs


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