Courses
Date: 21 Sep 2007
Subject: Salford Systems' Fall Training Schedule
Salford Systems' Data Mining Training and Onsite Demonstration Opportunities:
- Hands-on trainings, demonstrations, online trainings and real-world case study presentations.
- Detailed list of training and demonstration opportunities below.
Hands-on and theoretical data mining training:
- San Diego (December 3-7).
- Companies can also receive training at their own sites.
- 7 Courses: Getting Started with Data Mining (vendor neutral), CART, Advanced CART, MARS, TreeNet/MART, RandomForests, Enhancing Logistic Regression Models.
- Register for 1, 2, 3, 4 or 5 days.
Data mining onsite demonstrations:
- September, October, November
- United States and Canada.
- We would like to meet with you when we are in your neighborhood. Please contact us to schedule.
Online data mining training (full day, limited enrollment):
- September 28, 2007: MARS and RandomForests
For Self-Learners:
Walkabouts: www.salfordsystems.com/walkabout.php.
Spend a few minutes touring the basic workings of 2 data mining tools. At the end of this tour you will be ready to begin your own data mining analysis.
Real-world case study presentations: www.salfordsystems.com/success_login.php
Journal articles and presentations illustrating applications in industry, academia and research:
Download Software (Free 30 day fully-functional evaluations).
Use your data or ours. Easy. Build a model with just a few mouse clicks.
- Classification: http://www.salford-systems.com/dist/CART6/CART6Pro.exe
- Regression: http://www.salford-systems.com/dist/m2v20Dm32ck6s.exe
- RandomForests: http://www.salford-systems.com/dist/RandomForestsD.exe
- TreeNet: http://www.salford-systems.com/dist/t2v77g288.exe
We also recommend Drs. Hastie and Tibshirani's short course (Washington DC, October 18-19) entitled "Statistical Learning and Data Mining II: Tools for Tall and Wide Data II, State-of-the-Art Statistical Methods for Data Analysis." They offer a broad overview of the field for technically oriented modelers and analysts. Their coverage is vendor neutral but they devote time to discussion of several Salford products including CART(R), MARS(R), TreeNet(R) and RandomForests(R).
See: http://www-stat.stanford.edu/~hastie/SLDM/sldmdcII.html
If you have any questions, please do not hesitate to contact us.
Amy Baldwin
Ph: (619)543-8880 Fax: (619)543-8888
URL: http://www.salford-systems.com
Email: tutorial@salford-systems.com
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