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Regression Webinar Series Captures Data Modeler, Analyst, and Statistician Communities

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The Evolution of Regression Modeling: From Classical Linear Regression to Modern Ensembles

SAN DIEGO - Regression is one of the most popular modeling methods among data scientists, analysts, and statisticians. Many from these communities all over the world have joined the forefront webinar series "The Evolution of Regression Modeling: From Classical Linear Regression to Modern Ensembles" presented by Salford Systems. The series addresses the problems of classical linear regression and shows the evolution of modeling techniques in four parts, including two hands-on demonstrations.

Salford Systems’ Senior Scientist Mikhail Golovnya presented part one of this series on Friday, March 1, 2013.  Attendees from all over the world participated in this theoretical session, which offered a solid foundation for the upcoming three parts. Due to the large audience that this opening session attracted, the conclusion could be drawn that regression is a hot topic and is indeed of popular demand among modelers.

The examples and software used in this demonstration included the Salford Predictive Modeler® software suite's components of classical regression, Generalized PathSeeker™ (GPS), and MARS® (Multivariate Adaptive Regression Splines). All participants in the webinar series are granted a complementary 60-day evaluation of the latest software release.

Friday, March 15 kicks off part two of this series, presented by Salford Systems' CEO and Founder Dan Steinberg. The second part of this series is intended to be a hands-on component of the theoretical topics covered in part one (a discussion of classical, regularized, and nonlinear regression).

Part 2: March 15 - Hands-on demonstration of concepts discussed in Part 1

  •     Step-by-step demonstration
  •     Datasets and software available for download
  •     Instructions for reproducing demo at your leisure
  •     For the dedicated student: apply these methods to your own data (optional)

Part 3: March 29 - Regression methods discussed
*Part 1 is a recommended pre-requisite

  •     Nonlinear Ensemble Approaches: TreeNet Gradient Boosting; Random Forests; Gradient Boosting incorporating RF
  •     Ensemble Post-Processing: ISLE; RuleLearner

Part 4: April 12 - Hands-on demonstration of concepts discussed in Part 3

  •     Step-by-step demonstration
  •     Datasets and software available for download
  •     Instructions for reproducing demo at your leisure
  •     For the dedicated student: apply these methods to your own data (optional)

"In this webinar series, we use straightforward, practical examples to illustrate some of the key characteristics in the evolution of regression modeling,” comments Golovnya. "The series is intended for modelers working with large datasets, data with missing values, nonlinear relationships, and/or local patterns and interactions."

About Salford Systems
Founded in 1983, Salford Systems specializes in providing new generation data mining and choice modeling software and consultation services. Applications in both software and consulting span market research segmentation, direct marketing, fraud detection, credit scoring, risk management, bio-medical research and manufacturing quality control. Industries using Salford Systems products and consultation services include telecommunications, transportation, banking, financial services, insurance, health care, manufacturing, retail and catalog sales, and education. Salford Systems software is installed at more than 3,500 sites worldwide, including 300 major Universities.

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Media Contact
Heather Hinman
Salford Systems
619-543-8880 ext. 130
hhinman@salford-systems.com

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Technology training Webinar MARS data mining Knowledge Discovery and Data Mining Dan Steinberg nonlinear regression regularized regression regularized trees

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