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.
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®)? ›
8:45
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 ›
32:24
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
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
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.
Random Forests®
Random Forests® is a modeling engine that leverages the power of multiple alternative analyses, randomization strategies, and ensemble learning.
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.
TreeNet®
TreeNet® Gradient Boosting is SPM’s most flexible and powerful data mining tool, capable of consistently generating extremely accurate models.
Pricing
Contact us for pricing information.
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.
Automation
70+ pre-packaged scenarios, basically experiments, inspired by how leading model analysts structure their work.