SALFORD PREDICTIVE MODELER

Introductory Videos





Introduction to Tree-Based Machine Learning
Section 1: Regression (quantitative target)

Learn the basics of Minitab's data mining software.




Introduction to CART Decision Trees for Regression

25:40




How to Write a Decision Tree (CART®) as an Equation

11:26




How are Variable Interactions Modeled in Decision Trees (CART®)?

08:45




Introduction to Random Forests for Regression

14:59




Introduction to Stochastic Gradient Boosting for Regression

Recommendation: Before watching this video, watch "Introduction to CART® decision Trees for Regression"
39:49




Introduction to MARS Nonlinear Regression Splines

Recommendation: Before watching this video, watch "Introduction to CART® decision Trees for Regression"
1:21:50



Introduction to Tree-Based Machine Learning
Section 2: Classification (categorical target)




Introduction to CART Decision Trees for Classification

14:59




Introduction to Random Forests for Classification

Recommendation: Before watching this video, watch “Introduction to CART Decision Trees for Classification”
20:57




Introduction to Stochastic Gradient Boosting for Classification

Recommendation: Before watching this video, watch “Introduction to CART Decision Trees for Classification”
37:07



Additional Introductory Videos




Introduction to Data Mining

1:02:22




Introduction to Gradient Boosting (TreeNet®)

11:26




Introduction to Non-linear Regression (MARS®)

53:43




Introduction to Random Forests®

9:41




Introduction to CART® Decision Trees

1:00:06







Salford Predictive Modeler® 8

Minitab's Integrated Suite of Machine Learning Software


CART®
SPM’s CART® modeling engine is the ultimate classification tree that has revolutionized the field of advanced analytics, and inaugurated the current era of data science.

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Random Forests®
Random Forests® is a modeling engine that leverages the power of multiple alternative analyses, randomization strategies, and ensemble learning.


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MARS®
The MARS® modeling engine is ideal for users who prefer results in a form similar to traditional regression while capturing essential nonlinearities and interactions.

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TreeNet®
TreeNet® Gradient Boosting is SPM’s most flexible and powerful data mining tool, capable of consistently generating extremely accurate models.


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Pricing

Contact us for pricing information.




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University Program

Our University Program provides the SPM®, CART®, MARS®, TreeNet® , and Random Forests® modeling engines at significantly-reduced licensing fees to the educational community.

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Automation

70+ pre-packaged scenarios, basically experiments, inspired by how leading model analysts structure their work.


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Bizit Systems is the leading provider of software and services for quality improvement.