Salford: The Evolution of Regression
Free, Hands-on Webinar Series, Mar 15, 29, Apr 12
Regression is a key analytics tool - learn the latest in upcoming free webinar series: The Evolution of Regression - From Classical Linear Regression to Modern Ensembles
You can get the slides if you missed Part 1 of
"The Evolution of Regression Modeling" webinar series,
and you can still join for Parts 2, 3, & 4 - Space is Limited!
www1.gotomeeting.com/register/500959705
Download (optional) a free evaluation of the SPM software suite v7.0 (used in the hands-on components of the webinar). As a webinar participant you will qualify for a 60-Day Evaluation of the software at no charge
Course Outline:
Overcoming Linear Regression Limitations
Regression is one of the most popular modeling methods, but the classical approach has significant problems. This webinar series addresses these problems.
- Are you working with larger datasets?
- Is your data challenging?
- Does your data include missing values, nonlinear relationships, local patterns and interactions?
This webinar series is for you! We will cover improvements to conventional and logistic regression, and will include a discussion of classical, regularized, and nonlinear regression, as well as modern ensemble and data mining approaches. This series will be of value to any classically trained statistician or modeler.
Part 2: March 15, 10-11am PT, 1-2 pm ET
Hands-on demonstration of concepts discussed in Part 1 (Classical Regression, Logistic Regression, Regularized Regression: GPS Generalized Path Seeker, Nonlinear Regression: MARS Regression Splines)
- 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, 10-11am PT, 1-2pm ET - 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, 10-11am PT, 1-2pm ET - 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)
