Data Mining Quick Start Seminar and Hands On Training

MUST REGISTER HERE:
http://www.eventbrite.com/e/data-mining-quick-start-tickets-12698217711

Sponsored Professional Development Seminar

Speaker: Mikhail Golovnya, Senior Scientist, Salford Systems

Hands-on data mining training Saturday, September 27th
Includes free 90-day access to the SPM Salford Predictive Modeler technology

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. 

Includes free 90-day access to the SPM Salford Predictive Modeler technology for Windows PCs with XP, Vista, 7, or 8 O/S and at least 2 GB memory (Not Apple MacBook, Not PCs with Linux)

Agenda

Data Mining Quick Start

• 8:00am-9:00am — Breakfast/Check-in

• 9:00am-12:00pm — Introduction to Data Mining and Case Study Examples

• 12:00pm-1:00pm — Lunch (provided)

• 1:00pm-4:30pm — Hands-On Technical Session (Bring your own laptop) 

Build and Score Predictive Models
Optimization for Predictive Accuracy
Create Reports: Translating insights into actionable results

• 4:30pm-5:00pm — Questions, Next Steps

Fee: $50 for SFBayACM Members; $70 for non-members (include $20 membership).

MUST REGISTER HERE:
http://www.eventbrite.com/e/data-mining-quick-start-tickets-12698217711

Speaker Bio

Mikhail Golovnya graduated from Kharkov State Polytechnic University, Ukraine in 1995 with a Specialist Engineering Degree in Flight Dynamics and Space Shuttle Control. In 1996, he was a Research Scholar in Econometrics and Finance at Saint Norbert College, Wisconsin. Golovnya later joined the Master of Science in Computation Statistics program at the University of Central Florida, Orlando from which he graduated with honors in fall of 2000. 

He began his work with Salford Systems as a Systems Analyst in the summer of 1999. He is primarily responsible for data mining consultation projects and works in model development and the search for technological improvements to Salford’s core products. He is also responsible for advanced testing of CART®, MARS®, TreeNet®, Random Forests®, and prototyping of new data mining algorithms and modeling automation. Golovnya also leads training sessions in CART, MARS, TreeNet, and Random Forests and provides guidance and technical support to Salford Systems’ data mining clients.

http://www.salford-systems.com

Event page provided by ACM
https://www.sfbayacm.org/event/data-mining-quick-start