KDnuggets : Newsletter : 1999 Issues : 99:19 Contents :

KDnuggets 99:19, item 13, Courses:

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Date: Tue, 07 Sep 1999 16:24:38 -0700
From: Kerry Martin kerry@salford-systems.com
Subject: MARS and CART Seminars by Salford Systems

MARS and CART October Seminar Series
presented by Dan Steinberg, Salford Systems

An Introduction to Next Generation Regression Modeling with MARS™
October 13 in San Francisco and October 18 in New York

An Introduction to Decision-Tree Modeling with CART®
October 19 in New York

Advanced CART® and Tree-Hybrid Modeling Techniques
October 20 in New York

COURSE DESCRIPTIONS

An Introduction to Next Generation Regression Modeling with MARS™
October 13 in San Francisco and October 18 in New York

Step into the next generation of regression modeling with MARS
(Multivariate Adaptive Regression Splines)!  Be the first on your block to
get answers about a new high-speed regression tool that provides superior
predictive - what is MARS?  How does it work?   What applications is it
best suited for?  How can it help you develop more accurate models for
predicting continuous and binary outcomes?

Learn how to:
* plan and execute MARS analyses
* refine your models using key control parameters
* use MARS to improve your existing models
* hybridize MARS and CART to gain an even better fit

An Introduction to Decision-Tree Modeling with CART®
October 19 in New York

Discover the power of tree-structured modeling during this popular one-day
seminar by Dan Steinberg, one of the leading experts in decision-tree
technology and applications.  This seminar is geared towards data analysts
and modelers who are interested in understanding both the conceptual and
practical basis of decision-tree methodology -- what it is, why it works,
how it has been used, and how it can help you better understand your data.

Explore the practical use and application of decision trees in solving real
world, complex modeling challenges and learn about:
* decision-tree fundamentals
* decision-tree applications
* how to build and interpret CART trees
* how to use advanced options (splitting rules, priors, costs, bagging,
ARCing)

Advanced CART® and Tree-Hybrid Modeling Techniques
October 20 in New York

Sharpen your decision-tree expertise during this one-day advanced course
for analysts with prior knowledge of tree algorithms.   Using real-world
examples, learn how to:
* hybridize decision trees with logistic regression and neural nets
* combine multiple trees via bagging, boosting, and varying priors
* explore alternative splitting rules and their strengths and weaknesses
* grow and prune with misclassification costs
* emerging topics in decision trees

FOR MORE INFORMATION

For more information on our training courses, software and consulting
services, please visit:

http://www.salford-systems.com

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KDnuggets : Newsletter : 1999 Issues : 99:19 Contents :

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