On demand webinar
Working with Neural Networks in IBM SPSS Statistics
An introduction to Neural Networks in SPSS Statistics. Learn how these models work, how to build and train a simple network and how to improve accuracy by tuning key parameters, how to save your model and apply it to new data for scoring.
In this session we will provide an overview and demonstration of the Neural Networks module in SPSS Statistics.
In this focused one hour session we introduce the Neural Networks module in SPSS Statistics and show how it can be used to build more powerful predictive models. The session combines clear explanation with a live demonstration, giving you a practical understanding of how Neural Networks operate and how to apply them within your own analytical work.
You will learn how Neural Networks process information, how to set up and train a basic model and how to improve performance by adjusting key network parameters. We will also cover how to save trained models and apply them to new datasets for efficient, repeatable scoring.
In just one hour you will discover:
- How Neural Networks work
- Building a basic Neural Network model
- Optimising model accuracy by changing network parameters
- Saving network models and applying them to new data for scoring