++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+++ +++
+++ Modern Regression and Classification: +++
+++ +++
+++ Widely applicable statistical methods +++
+++ for modeling and prediction +++
+++ +++
UPDATED: covering state-of-the-art developments in
boosting methods and support vector machines!
+++ +++
+++ San Diego, California; Jan 31-Feb 1, 2000 +++
+++ +++
+++ Trevor Hastie, +++
+++ Rob Tibshirani, Stanford University +++
+++ +++
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
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).
Over half of the scores were 5!
[The mean was 4.6, with a sample size of 55]
For further information and registration forms see
http://www-stat.stanford.edu/~hastie/mrc.html
or email to Professor Trevor Hastie ([EMAIL PROTECTED])
or Professor Robert Tibshirani ([EMAIL PROTECTED]) and ask
for full details,
or contact
Prof. Trevor Hastie
Stanford University CA
Phone/FAX: (650) 326-0854
This course fills 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
FAX 650-725-8977
[EMAIL PROTECTED]
http://www-stat.stanford.edu/~tibs
