Tag: Modeling

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Answers to Questions about JMP 9 Neural Platform

JMP Systems Engineer Sam Gardner presented a webcast on the JMP 9 Neural platform. Revamped for JMP 9, the new Neural platform enhances interactive data mining by offering a richer set of modeling options, improved speed and performance, and calculations that streamline analysis. I thought I'd share Sam's answers to

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Splitting Data for Predictive Modeling with JMP

This fall, we introduced a new member of the JMP family: JMP Pro. For this first version of JMP Pro, the main intention was to start to make predictive (as opposed to exploratory) modeling more accessible to those who are drawn to the JMP style of working. Indeed, JMP Pro

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What Factors Affect Office Temperature? Creating Custom Maps

This post is the third in a series that shows how we conducted an observational study about office temperatures, from design to execution to analysis and visualization. See Part I and Part II. In the previous two posts, we discussed the design and execution of an observational study about what

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A Brief Demo of Neural Nets in JMP

Often we assume there is a complicated relationship between explanatory variables and responses. In these cases, neural networks (neural nets) are useful and can enable us to predict responses from a flexible network of functions of input variables. Neural nets can efficiently and flexibly model different response surfaces when it

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JMP Into R!

This week we celebrate the 35th anniversary of SAS user group meetings with SGF 2010 (formerly known as SUGI). SAS has exhibited extraordinary growth and success since that first meeting of five users in 1975. Over this time span, we have also seen major advancements in the field of modern

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