Introduction to IBM SPSS Neural Networks
This course will cover the usage and application of Neural Network models using IBM SPSS Statistics. Neural Network models are used to predict an outcome variable that is either categorical or interval in scale using predictors that are also categorical or interval. Neural networks are popular when modeling complex environments (for example financial applications).
If you are an IBM Statistics (formerly IBM SPSS or SPSS Statistics) user in any application field who wants to learn more about Neural Network Models and their application, this intermediate course will be of interest to you.
You should have:
- Completion of Introduction to IBM SPSS Statistics; Data Management and Manipulation with IBM SPSS Statistics and Advanced Statistical Analysis courses
- Introduction to SPSS Neural Networks
- Data Preparation
- Multilayer Perception Procedure
- Radial Basis Function Procedure