Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
Activity Details
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| CE_22C | Tue, 8/6/2013, 8:30 AM - 5:00 PM | W-Palais | |
| Introduction to Statistical Learning — Continuing Education Course | |||
| ASA , Section on Statistical Learning and Data Mining | |||
| Instructor(s): Daniela Witten, University of Washington | |||
| This one-day seminar will be a practical introduction to and an overview of statistical learning methods. As computing power and the scope of data being collected across many fields has increased dramatically in the past 20 years, many new "statistical machine learning" methods have been developed. This course will provide an applied introduction to a number of statistical learning techniques, including cross-validation, the lasso, generalized additive models, decision trees, and clustering, as well as more classical approaches such as linear discriminant analysis, quadratic discriminant analysis, nearest neighbors, and ridge regression. Applications to finance, genomics, and other areas will be presented. Participants should be familiar with linear regression at the level of the textbook Applied Linear Regression by Sanford Weisberg. | |||
2013 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.
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