In this on-demand webinar, we will show you how TreeNet Gradient Boosting can be used for the 2009 KDD Cup competition to quickly achieve a place in the top 5. At the end of this webinar, our goal is that you will be able to build a TreeNet Model that can bring you within decimal places of a winning solution. Use this information as a starting point for Kaggle competitions and other KDD Cup competitions.

This two-part series demonstrates the convenient facilities available for automation and command line processing in the Salford Predictive Modeler.

In this 10-part video series we discuss the concept of cost functions, which are directly related to the performance of data mining and predictive models.

Return on investment is a profitability measure that many companies use to quantify their efforts and make important business decisions. As an example, we will look at ROI related to product sales and promotions at Walmart. Using state-of-the-art data science techniques, and especially TreeNet gradient boosting, we will optimize product promotion options and maximize revenue.

In this series we will show how easy it is to use the SPM software suite for your predictive modeling projects. We will use a modern banking application as an example.

This series is designed for the beginner or someone new to Salford Systems' data mining products. Start building models quickly and competently.

Take a close look at CART to see the advantages of using train and test data when building your predictive models.