Salford Comprehensive Data Science Training, Dec 3-5, San Diego or Online

Learn the basics tree-structured data mining with CART, and progress to more advanced topics including Linear, Logistic, Nonlinear, Regularized, Lasso, MARS, TreeNet (Stochastic Gradient Boosting) and RandomForests(r), including Latest Refinements and Model Compression.

Salford Systems Salford 3-Day Data Science Training

You Can Attend Online, or in San Diego!

Day 1 CART®: Modeling with Decision Trees

Discover the power of tree-structured data mining during this popular introductory seminar, geared toward statisticians and IT audiences who are interested in understanding the conceptual basis of decision tree technology - what is it, why it works, how it has been used, and how it can help you make better business decisions.

Day 2: Modern Analysis Techniques Part 1: Linear, Logistic, Nonlinear, Regularized, GPS (Generalized PathSeeker), Lars, Lasso, Elastic Net, and MARS® (Multivariate Adaptive Regression Splines)

Using real-world datasets we will demonstrate Stanford Professor Jerome Friedman's advances in nonlinear, regularized-linear and logistic regression. This workshop will introduce the main concepts behind Generalized PathSeeker (GPS) and Multivariate Adaptive Regression Splines (MARS), a nonlinear automated regression tool

Day 3: Modern Analysis Techniques Part 2: TreeNet® (Stochastic Gradient Boosting) and RandomForests®, Including the Latest Refinements and Model Compression Techniques

This workshop discusses key algorithmic details of Breiman's Random Forests and Friedman's TreeNet, and important extensions to bagging/boosting technology. We will show how the software is used to solve real-world problems, cover theory, discuss what is novel, illustrate how to select an ideal balance between model complexity and predictive accuracy, and show where the software fits in terms of other data mining software.

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