Introductory Videos

SALFORD PREDICTIVE MODELER

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

Learn the basics of Minitab's data mining software.

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Introduction to CART Decision Trees for Regression ›

25:40

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

11:26

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

8:45

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Introduction to Random Forests for Regression ›

14:59

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Introduction to Stochastic Gradient Boosting for Regression ›

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

39:49

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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)

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Introduction to CART Decision Trees for Classification ›

32:24

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Introduction to Random Forests for Classification ›

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

20:57

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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

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Introduction to Data Mining ›

1:02:22

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Introduction to Gradient Boosting (TreeNet®) ›

11:26

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Introduction to Non-linear Regression (MARS®) ›

53:43

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Introduction to Random Forests® ›

9:41

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Introduction to CART® Decision Trees ›

1:00:06

WHAT WE DO

Minitab products help businesses increase efficiency and
improve quality through smart data analysis.

Salford Predictive Modeler® 8
Minitab’s Integrated Suite of Machine Learning Software

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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.