Courses

Salford Systems' Worldwide Data Mining Training Opportunities:

• Hands-On Trainings, Demonstrations, Online Trainings, On-Line Beginner Sessions (vendor neutral). Webinars (no charge), and Real-World Case Study Presentations

• Atlanta, Boston, San Francisco, San Jose, San Diego, Europe
• Companies can also receive training at their own sites.
• 7 Courses: Getting Started with Data Mining for Absolute Beginners, CART, Advanced CART, MARS, TreeNet/MART, RandomForests, Enhancing Logistic Regression Models.
• Register for 1, 2, 3, 4 or 5 days.

• February, 2007 in Australia and New Zealand
• March, 2007 in the United States and Canada
• April, 2007 in Asia
• Please let us know if you would like to meet with us when we are in your neighborhood.

• February 2, 2007: Introduction to Data Mining With CART Decision Trees
• February 9, 2007: Two-part class: Jerome Friedman's TreeNet/MART and Enhancing Logistic Regression Models Using Tree-Based Methods and Hybrid Modeling Techniques
• February 16, 2007: Two-part class: Introduction to Leo Breiman's RandomForests and to Predictive Modeling with MARS Automated Non-Linear Regression Tool

1.5 HOUR WEBINAR (no charge)
April, 2007
Modern Techniques to Develop Prediction Models for Medical Research
Discusses the use of these new techniques in clinical medical research. You will learn about how the same techniques used by major credit companies for detecting fraudulent activity can be used in clinical medicine to aid clinical decision making. Several examples will be shown where standard statistical methods were less accurate in developing a prediction model.

FUTURE WEBINARS

• Webinars will be offered bi-monthly beginning in April.

• Data Mining and Predictive Analytics for the Financial Services Industry,
• Data Mining and Predictive Analytics for Marketers and
• Data Mining and Predictive Analytics for Environmental Research.

REAL-WORLD CASE STUDY PRESENTATIONS

• Journal Articles and Presentations illustrating applications in industry, academia and research.

• If you have any questions or if you would like to see a Detailed Schedule and List of Course Descriptions, please contact me.