Active Learning in JMP - Chris Gotwalt ENBIS Workshop
Watch the recording of this workshop with Chris Gotwalt and Phil Kay.
Watch the recording of this workshop with Chris Gotwalt and Phil Kay.
Scientists and engineers from a variety of different industries came to Wolfson College, University of Cambridge to learn about a smarter way to do experiments.
Selected JMP users joined Chris Gotwalt, JMP Chief Data Scientist, for a special hands-on workshop on Functional Data Explorer in JMP Pro.
The complete blog series - demystifying the concepts of Design of Experiments.
A tutorial workshop on understanding a fermentation process with DoE.
Video series on Design of Experiments (DoE) - why you should use this method, the explosion of possibilities in multifactor space, and the history of corn yields.
Model selection with random effects is a bit more challenging.
We ran a workshop on Functional Data Explorer in JMP Pro 14 for select customers at our London office. SAS London
How engineers saved $Ms in scrap by understanding their process with advanced data analytics.
Middleton Calf Top near Dent in the Yorkshire Dales. This is the origin of the family name, Metcalf. Where in the World are Metcalfs?
Functional DoE is even easier in JMP Pro 15
Photo by Julian Parris Select customers were invited to our London office for a workshop on data preparation in JMP with Learning Strategy Manager, Julian Parris.
Select customers joined Chris Gotwalt, JMP Director of Statistics R&D, in London for another workshop on using functional data. Download the materials here.
Select customers joined JMP Director of Statistics R&D, Chris Gotwalt, for a Machine Learning workshop at our London office on the 19th March 2019. You can find all the materials used in the workshop here.
A pharmaceutical company was losing money and credibility due to a quality issue with a tableting process. In this case study you will see how they found a robust solution to fix the problem for good, increased their credibility with externals and saved many £100k per year in scrapped batches.
I analysed more than 7 millions rows of data with JMP to find out when is the worst time of year to fly.
Design of Experiments has created huge value through accelerating innovation but scientists and engineers struggle to apply DoE when the key output of their experiments is a curve or a profile.
This case study will show you how you can accelerate innovation with JMP.