Simply Salford Blog

Data Mining Video Search [Quick Tip]

Posted by Heather Hinman on Tue, Sep 10, 2013 @ 12:01 PM

Have you checked out Salford Systems new responsive website? According to Wikipedia,
Responsive web design (RWD) is a web design approach aimed at crafting sites to provide an optimal viewing experience—easy reading and navigation with a minimum of resizing, panning, and scrolling—across a wide range of devices (from mobile phones to desktop computer monitors). With this in mind, we have undergone a website makeover; making it easier for you to use Salford's data mining resources from your mobile and/or tablet.

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Topics: video, training, Webinar, Tutorial

A Drilled-Down Approach To Regression Modeling

Posted by Heather Hinman on Fri, May 24, 2013 @ 06:02 AM

The San Francisco Data Mining meetup group invited Salford Systems' CEO Dan Steinberg for a drilled-down presentation based on the webinar series “The Evolution of Regression Modeling” from earlier in the year. The presentation was warmly received by the 285-person audience, and Salford Systems was happy to bring something of popular interest to the table.

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Topics: Regression, Webinar

How to Build a Random Forests Model Using TreeNet [video tutorial]

Posted by Heather Hinman on Tue, May 21, 2013 @ 08:48 AM

In SPM v7.0 (Salford Systems' latest product release) one of the new features available in the TreeNet component (Ultra version) is the ability to build Random Forests models. By building the model in the TreeNet engine, you're able to take advantage of the powerful technology offered by gradient-boosted trees.

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Topics: TreeNet, Random Forest, stochastic gradient boosting, Webinar, Tutorial

Regression Webinar Feedback: You Vote. We Listen...

Posted by Heather Hinman on Fri, May 10, 2013 @ 05:50 AM

Experience tells us that people like to be heard. Salford Systems values friendly feedback and critiquing. That is why we recently surveyed those who participated in our recent webinar series, "The Evolution of Regression Modeling."

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Topics: survey, Webinar, statistics

Discussion Questions from "The Evolution of Regression"

Posted by Heather Hinman on Thu, Apr 4, 2013 @ 11:30 AM

During the course of Salford Systems' 4-part webinar series "The Evolution of Regression," some very good questions from the audience have made their way to presenter Dr. Dan Steinberg, CEO and Founder. Here are a few responses that we thought would benefit everyone who is interested in regression, nonlinear regression, regularized regression, decision tree ensembles and post-processing techniques.

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Topics: TreeNet, Random Forests, GPS, MARS, Regression, Webinar, SPM 7

Hands-On Webinar "The Evolution of Regression Modeling"

Posted by Heather Hinman on Tue, Mar 12, 2013 @ 04:08 AM

Part 2 - Hands-On Component is this Friday! [March 15, 2013, 10 am PST (San Diego, CA)]

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.

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Topics: GPS, MARS, Regression, Webinar, SPM 7

Video: The Evolution of Regression [Part 1]

Posted by Heather Hinman on Tue, Mar 5, 2013 @ 04:00 AM

Whether you were able to attend Part 1 of the webinar series "The Evolution of Regression Modeling: From Classical Linear Regression to Modern Ensembles" or not, the on-demand recording is now available. Watch the video and download the slides.

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Topics: GPS, MARS, Regression, Webinar, SPM 7

The Evolution of Regression: An Upcoming Webinar Series

Posted by Heather Hinman on Tue, Feb 5, 2013 @ 05:35 AM

Regression is one of the most popular modeling methods, but the classical approach has significant problems. This webinar series address 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.

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Topics: GPS, MARS, Regression, Webinar