Understanding and Applying Tree-Based Methods
Date: Thursday, 15 October
Time: 11:00 a.m. – 12:15 p.m. Australia Eastern Time (Sydney, GMT+10:00)
As scientists, engineers and analysts, we are often faced with the challenge of uncovering the relationships hidden in our data.
Decision trees can be extremely useful for this purpose. Decision trees use a classification or partition as the basis for a predictive model to explore patterns, uncover relationships, screen the most influential factors and make conclusions about a response variable.
JMP® provides an interactive approach to creating decision trees with numerous options for optimisation and interpreting results.
Join us for this engineering case study to see how tree-based modelling techniques can be used to identify the factors that affect the yield of a process. Specifically, you will learn about:
- Decision trees.
- Classification and regression.
- Modelling using the Partition platform in JMP.
- Bootstrap forests.
- Boosted trees.
Please come with your questions!
Register now to attend online
ABOUT THE SPEAKER
Bass Masri is a Systems Engineer for JMP. He has a passion for statistics, with more than 20 years of experience in engineering, science and process improvement.