Subject: Data Mining Training (Hands-On, $35), San Diego, April 25th

More information: 
http://hub.am/1s90ZMs<https://app.getsignals.com/link?url=http%3a%2f%2fhub.am%2f1s90ZMs&ukey=agxzfnNpZ25hbHNjcnhyGAsSC1VzZXJQcm9maWxlGICAgMCxqZwIDA&k=bb658866a2ff4bc0989341c561487b8e>
Cost: $35 (includes free 90-day access to the SPM Salford Predictive Modeler 
technology)
Agenda

Data Mining Quickstart

 *   9:30am-10:00am -- Breakfast
 *   10:00am-11:00am -- Introduction to Data Mining
 *   11:00am-12:00pm -- Case Study Examples
 *   12:00pm-1:00pm -- Lunch (provided)

Hands-On Technical Session (Bring your own laptop)

 *   1:00pm-4:00pm
    *   Build and Score Predictive Models
    *   Optimization for Predictive Accuracy
    *   Create Reports: Translating insights into actionable results


Why you should attend:

 *   Get step-by-step instruction for the most popular data mining techniques 
used in predictive analytics including decision trees, classification, 
segmentation, non-linear regression, ensemble methods, boosted decision trees, 
etc.
 *   Walk away with everything you will need to start your own data mining 
projects.
 *   Be ready to apply your new data mining knowledge at your organization to 
create immediate value.
 *   All attendees receive 90-day access to the SPM Salford Predictive Modeler 
technology.

*         Salford Systems' Training Seminars offer crystal clear instruction 
and a wealth of real-world consulting experience. This seminar will provide a 
great opportunity to use data mining technology and to understand how to apply 
data mining to your business and/or research needs.

San Diego Location: San Diego Training and Conference Center, 350 Tenth Ave., 
Suite 950, San Diego, CA 92101

Please contact me if you should have any questions.

Sincerely,
Lisa Solomon

li...@salford-systems.com<mailto:li...@salford-systems.com>

(619) 543-8880 x109

www.salford-systems.com<https://app.getsignals.com/link?url=http%3a%2f%2fwww.salford-systems.com&ukey=agxzfnNpZ25hbHNjcnhyGAsSC1VzZXJQcm9maWxlGICAgMCxqZwIDA&k=378e13a21c5e4e25ab43add91a05a332>

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