[R] Tomorrow Webinar: Enter a KDD Cup or Kaggle Competition without being an expert!

Webinar: Enter a KDD Cup or Kaggle Competition, You don't need to be an expert! Tomorrow, January 13, 2015 from 10am-11am PDT * If inconvenient time, please register and we will send you a recording. Click to Register: http://hubs.ly/y0q_jf0 Abstract: * Quickly achieve a place

[R] Chicago, Data Mining Training (Hands-On, $35), Chicago, May 23rd

Join us for a hands-on data mining training in Chicago, IL on May 23, 2014: * Cost: $35 * Registration: http://hub.am/1ftOoR0 * Learn data mining quickly using Salford Systems' Commercial Data Mining Software (No programming skills needed). Agenda: 8:30am-9:00am Breakf

[R] Hands-on Webinar: Advances in Regression: Modern Ensemble and Data Mining Approaches (no charge)

Hands-on Webinar (no charge) Advances in Regression: Modern Ensemble and Data Mining Approaches **Part of the series: The Evolution of Regression from Classical Linear Regression to Modern Ensembles Register Now for Parts 3, 4: https://www1.gotomeeting.com/register/500959705 **All registrants wi

[R] Tomorrow: The Evolution of Regression from Classical Linear Regression to Modern Ensembles (hands-on)

Tomorrow, Friday March 15 Maybe you missed Part 1 of "The Evolution of Regression Modeling from Classical Linear Regression to Modern Ensembles " webinar series, but you can still join for Parts 2, 3, & 4 > Register Now for Parts 2, 3, 4: > https://www1.gotomeeting.com/register/500959705 > > C

[R] Hands-on Webinar Series (no charge) The Evolution of Regression from Classical Linear Regression to Modern Ensembles

Maybe you missed Part 1 of "The Evolution of Regression Modeling from Classical Linear Regression to Modern Ensembles " webinar series, but you can still join for Parts 2, 3, & 4 Register Now for Parts 2, 3, 4: https://www1.gotomeeting.com/register/500959705 Download (optional) a free evaluation

[R] Webinar: Advances in Gradient Boosting: the Power of Post-Processing. TOMORROW, 10-11 a.m., PST

Webinar: Advances in Gradient Boosting: the Power of Post-Processing TOMORROW: December 14, 10-11 a.m., PST Webinar Registration: http://2.salford-systems.com/gradientboosting-and-post-processing/ Course Outline: I. Gradient Boosting and Post-Processing: o What is missing from Gradient Boost

[R] Webinar signup: Advances in Gradient Boosting: the Power of Post-Processing. December 14, 10-11 a.m., PST

Webinar signup: Advances in Gradient Boosting: the Power of Post-Processing December 14, 10-11 a.m., PST Webinar Registration: http://2.salford-systems.com/gradientboosting-and-post-processing/ Course Outline: *Gradient Boosting and Post-Processing: o What is missing from Gradien

[R] Webinar signup: Gradient Boosting and Classification Trees: A Winning Combination. November 9, 10-11 a.m., PST

Webinar signup: Tree Ensembles and Classification Trees: A Winning Combination November 9, 10-11 a.m., PST. Webinar Registration: http://2.salford-systems.com/gradientboosting/ Understand major shortcomings of using only decision trees and how tree ensembles can help overcome these challenges

[R] Early-Bird Deadline, Schedule: Data Mining Conference in California - Salford Systems

Salford Data Mining Conference August 23rd - 25th, 2009 San Diego, California Early-Bird Registration Deadline: July 24th, 2009 http://SalfordDataMining.com/agenda.php Post-Conference Training August 26th - 28th, 2009 Our conference will offer prominent keynote speakers and informative real wor

[R] Free Online: Data Mining Intro for Beginners, Vendor-Neutral, January 29, February 19

begin a data mining project. To register: http://salford.webex.com Contact me if the January 29th or February 19th dates/times are inconvenient and you wish to be put on our webinar notification list. Sincerely, Lisa Solomon [EMAIL PROTECTED] __ R-help

[R] Free Online: Data Mining Intro for Beginners, Vendor-Neutral, December 13

project. To register: http://salford.webex.com Contact me if the December 13th date/time is inconvenient and you wish to be put on our webinar notification list. Sincerely, Lisa Solomon [EMAIL PROTECTED] __ R-help@r-project.org mailing list https