Do you recognize that sometimes standard modeling methods do not address all your goals and questions? You don’t know why or may not know there is a better way.
Are you interested in going beyond the modelisation capabilities of JMP?
In this session we will show you the differences between JMP and JMP Pro. JMP Pro can easily cope with messy data, if missing data or highly correlated variables.
Why the use of cross validation can avoid overfitted models.
Why the use of different flavors of partition techniques and Generalized regressions can overcome data problems.
Saving time with one click to run all different models that summarizes all the model performance and help analyst pick the best model to be used.
Derive SQL scoring code to deploy in further SQL databases.
