From data to decisions - Applying Predictive Modelling with JMP

Learn better ways to explore patterns, uncover relationships and screen the most influential factors to make conclusions from your data, including:

• Decision trees (also called recursive partitioning, CHAID or CART).
• Classification and regression.
• Partitioning.
• Bootstrap forests JMP® Pro (also known as random forest technique).
• Boosted trees JMP® Pro.
• Model screening JMP® Pro.

You are only one webinar away from creating your own decision trees for better decision making! Hear from our senior JMP expert with over 10 years experience as principal statistician in quality assurance and regulatory affairs based in Sydney!

Who should attend?

Anyone interested in gaining greater insights from data mining and predictive modelling techniques. Especially relatable to scientists and analysts from the health and life science sector.