Using the Latest Enhancements to JMP and JMP Pro

The latest release of JMP and JMP Pro brings a variety of time-saving and analytic enhancements, ranging from data management to advanced predictive modeling. This session highlights how to use some of the key new capabilities, including:

• Data Tables -  data grid, rows, columns and script panels
• Data Connectors – accessing data and creating/sharing mass customized data connectors
• Third-party Extensions – improved Python integration, new data access options, improved JSL integration, ability to handle more objects, upgraded Python package management, restored SAS and R integrations
• Environmental Monitoring – extended process screening distributions, counts, limits and alarm reports for big and wide count and continuous data
• Bayesian Optimization – interactive, active learning technique for experimentation and optimization to identify the most promising new combinations of inputs to test
• Causal Inference – fit models using causal treatment option to see if X causes Y