KDnuggets : News : 2003 : n17 : item3 < PREVIOUS | NEXT >

Courses

From: McGuire, Lisa
Date: 12 Sep 2003
Subject: Fair Isaac Predictive Analytics on-line seminars: September-October

Whether you attended the sneak preview product seminar last month or visited the Fair Isaac exposition booth at the annual Knowledge Discovery and Data Mining Conference in Washington D.C., you will now see for yourself the value this new modeling tool offers. Model Builder for Predictive Analytics cultivates an efficient modeling environment for modeling teams by managing disparate data sources, providing a shared modeling repository, allowing highly customizable data analysis and modeling techniques, leveraging Fair Isaac's predictive scorecard techniques, generating production-ready models and monitoring model performance in production. Use of Model Builder for Predictive Analytics reduces time consuming and error prone activities, resulting in more and better customer treatment strategies and enhanced bottom line results!

Model Builder for Predictive Analytics - Demonstration
Tuesday September 23th, 2003
10:30 am Pacific, 1:30 pm Eastern
Speaker: MacGregor Belniak - Manager, Product Management
Duration: 60 Minutes

Register here


Hear the inside Fair Isaac approach to the Predictive Scorecard Development Process from a manager's point of view. This seminar includes an overview of the process, including Scoring Concepts, Report Requirements, Best Practices and Pitfalls. The discussion also references how some Model Builder for Predictive Analytics features blend into the development process.

An Overview of Predictive Scorecard Development - A Manager's Perspective
Wednesday October 1st, 2003
10:30 am Pacific, 1:30 pm Eastern
Speaker: Ramya Raghunathan - Manager, Analytic Science
Duration: 60 Minutes

Register here


Gain the analyst's point of view as you continue your exploration inside Fair Isaac's approach to the Predictive Scorecard Development Process. The seminar highlights details about the predictive scorecard development process, including theory behind Binning, Reject Inference, Scaling as well as Algorithm Methodologies. The discussion also references how some Model Builder for Predictive Analytics features blend into the development process.

An Overview of Predictive Scorecard Development - An Analyst's Perspective
Wednesday October 15th, 2003
10:30 am Pacific, 1:30 pm Eastern
Speaker: Ramya Raghunathan - Manager, Analytic Science
Duration: 60 Minutes

Register here


KDnuggets : News : 2003 : n17 : item3 < PREVIOUS | NEXT >

Copyright © 2003 KDnuggets.   Subscribe to KDnuggets News!