Building Better Models – Case studies in Predictive Analysis – JMP Webcasts
The five-part on-demand series shows how to build better and more useful models with modern predictive modeling techniques such as regression, neural networks and decision trees.
View a series of webcasts introducing statistical modeling and how to apply the concept effectively.
The five-part series will show you how to build better and more useful models with modern predictive modeling techniques such as regression, neural networks and decision trees.
Register to watch the entire series on demand.
Fung talks about the importance of statistical literacy, particularly when it comes to data and graphics in mass media and communicating about data in a business setting.
Through case studies from a variety of industries, you will learn how to:
- Partition your data into training, validation and test sets to prevent overfitting.
- Use advanced modeling techniques such as neural networks, bootstrap forests and boosted decision trees.
- Quickly compare multiple predictive models to find the best one.
These webcasts are for advanced analysts, scientists, engineers and researchers interested in learning how predictive modeling can help their companies use the data they have today to better predict tomorrow.
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