Discovering and Predicting Patterns Using Neural Network Models

See how to use JMP and JMP Pro to develop neural network models to help you understand underlying processes and hidden linear and non-linear relationships for seemingly complex problems. Case studies demonstrate how to build neural networks, starting with a simple one-layer network.  Learn how to use JMP Pro to build more complicated self-learning and boosted models. In the process you’ll also learn how to build nonlinear principal components. 

This webinar covers: handling, building and validating models; handling hidden layers and nodes; gradient boosting; fitting options for transforming variables; and nonlinear principal components.