“When building a predictive model, we find the JMP Pro interfaces to be very intuitive, allowing us to work closely with other JMP Pro users to build the model together.” -- Amy Clayman, Data-Driven Decisions Circle, VSE Beyond Spreadsheets is a blog series that highlights how JMP customers are augmenting
“The software you use not only shapes what you learn from your data; it shapes the questions you ask!” -- Tom Treynor, Director, Zymergen The Beyond Spreadsheets blog series shows how JMP customers are augmenting their tools and processes for exploratory data analysis to make breakthrough discoveries. The series features
In his Walking Randomly blog, Mike Croucher shows how to fit a simple nonlinear curve using five different statistical programming libraries: R, MATLAB, Maple, Julia and Python/numpy. The idea is to provide concrete examples for a commonly asked modeling question that is simple to state but not so simple to
For college football, the regular season is coming to an end, and in a few days we’ll know which teams are going to which end-of-season bowl games. Though some bowl assignments are determined by formula, each bowl often has a choice of several teams to invite to their game. Some
Having completed co-chairing a successful Analytics 2013 conference in London last month, Bart Baesens, professor and author, offers his insights to give JMP Blog readers a sample of some of the topics he will address in this month’s installment of Analytically Speaking: Conversations with Thought Leaders webcasts. Question: You teach both university students
Whether you steer strategy from the C-suite or execute operations from your cubical, you can use analytics to transform your organization. I have continued to gain greater appreciation for the value of analytics at the many conferences that JMP has participated in this fall, including Predictive Analytics World in New
Well, Wall Street cares so much about making fast decisions that it is laying dedicated high-speed lines so that the data for program trades can be processed faster and orders executed more quickly. If Wall Street can do all this in milliseconds, won’t it make a difference to you to
Gordon Linoff has been a self-starter in many ways. To name a few, he, along with Michael Berry, founded Data Miners Inc. in 1998. Gordon was also one of the first experts who SAS looked to in the 1990s to start the ever-popular SAS Business Knowledge Series. He has consulted for a wide