Webcast for Demonstrating the GenIQ Model

Data defines the model by dint of genetic programming, producing the best decile table.

Webcast for Demonstrating the GenIQ Model
Bruce Ratner, Ph.D.

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Subject: WEBCAST for Statistical Modelers and Data Miners: Online Demo of the GenIQ Model© - no charge!
Date:     Mutually Convenient Date & Time
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The GenIQ Model© is a machine learning alternative model to the statistical ordinary least squares and logistic regression models. GenIQ lets the data define the model – automatically data mines for new variables, performs variable selection, and then specifies the model equation – so as to "optimize the decile table," to fill the upper deciles with as much profit/many responses as possible. GenIQ requires no programming (though there is optional control of process), produces models that outdo statistical models, and is a different model: unsuspected equation, ungainly interpretation, and easy implementation.

Prerequisites for the GenIQ Webcast
1. Entry-level/well-schooled modeler of statistical ordinary least squares and logistic regression models (optional: an understanding how the decile table is used to assess model performance), AND who can "think out of the box."
OR
2. Mid-level or Practiced-to-advanced modeler of statistical ordinary least squares and logistic regression models along with an understanding how the decile table is used to assess model performance, AND who can "think out of the box," after reading Historical Notes.
OR
3. Well-informed end-user of at least one of today's many models* along with an understanding of how the decile table is used to assess model performance, AND is in earnest about an easy-to-use method that is not a "black box," but rather is transparent in its output.
* For example: statistical, machine learning, genetic algorithms/programming, decision trees, rules-based, neural networks, bayesian, and SVM.

GenIQ webcasts are one-on-one, you and your invited colleagues, and me.This allows for me to give you my full attention to ask all your questions, without feeling that you are taking-up other attendees' time. Please do not be put off by the webcast. It has proven to be the most effective way of my explaining either version of GenIQ webcast.

To Register for either webcast version, below, please anwser question #1, below:
1) The GenIQ Model Software Demonstration (30 minutes, no theory), or
2) The GenIQ Model Presentation (75 minutes; software demonstration AND GenIQ theory-lite).If the GenIQ Software Demonstration piques your interest, and you want to see the GenIQ theory-lite presentation, I would be glad to continue the webcast to do so. Or, we can decide on future date & time for the GenIQ theory-lite presentation. Either webcast is a perfect place to start if you want better predictive modeling and data mining!!

1. Please provide me with the following information by clicking email.

Two dates & times available for the GenIQ Webcast
Experience: 1) Entry-level/well-schooled modeler .. , 2) Mid-level modeler .. , 3) Practiced-to-advanced modeler .. , 4) Well-informed end-user .. .
Do you, at least in part, use the decile table/analysis to determine the best model? 1) Yes, or 2) No
Do you use the decile table/analysis to implement the best model? 1) Yes, or 2) No
I would like to attend 1) The GenIQ Model Software Demonstration, or 2) The GenIQ Model Presentation

2. Once we have agreed on a date & time, you will receive a "GoToMeeting© Invitation" email with instructions on how to join the event.

I discuss:

Data basics: What kind of data is required for genetic modeling and data mining; in what format must the data be; what steps are necessary to prepare data appropriately (there are none!).

What kinds of questions can be answered with GenIQ data mining.

How GenIQ models work: The inputs, the outputs, and the nature of its predictive mechanism of genetic programming.

Evaluation criteria: How GenIQ predictive models can be assessed and their value measured.

I guarantee:

To show that GenIQ lets the data define the model – automatically data mines for new variables, performs variable selection, and then specifies the model equation – so as to optimize the decile table.

Please do not hesitate to contact me if you have any questions.

Bruce Ratner, Ph.D.

For more information about this article, call Bruce Ratner at 516.791.3544 or 1 800 DM STAT-1; or e-mail at br@dmstat1.com.