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Let's JMP | November 2023

  1. Upcoming Series Webinar Building an Automated Quality and Process Engineering Workflow            In this Mastering series, we will help you to get better answers so you can make data-driven decisions faster. This session takes you through the possibility of many variables while easily identifying processes that aren't meeting expectations.
  2. JMP on Tuesday Robust Strategy in Statistical Process Control Chart                       During the shift from Industry 3.0 to Industry 4.0, the significance of exploratory data analysis (EDA) cannot be understated. Our speaker, Sufinah Dahari, is the Technical Expert at Dominant Opto Technologies; one of the leading light-emitting diodes (LEDs) manufacturers in the world offering high performance and innovative solutions for world renowned car makers.
    • Date: 7 November 2023, Tuesday
    • Time: 1:00PM - 2:00PM (Singapore) | 10:30AM - 11:30AM (India) | 4:00PM - 5:00PM (Australia)
    • Presenter: Sufinah Dahari
    • Location: Zoom Live Webinar
    • Registration: Free for JMP Users and Non-Users
    • Register now
  3. JMP on Tuesday Exploratory Data Analysis in Food Maturation Process                       Exploratory data analysis is highly important to ensure cycle time is monitored in food manufacturing. Our guest speaker Mashud Khan from George Weston Foods takes us through the Salami Maturation process in this free webinar.
    • Date: 14 November 2023, Tuesday
    • Time: 1:00PM - 2:00PM (Singapore) | 10:30AM - 11:30AM (India) | 4:00PM - 5:00PM (Australia)
    • Presenter: Mashud Khan
    • Location: Zoom Live Webinar
    • Registration: Free for JMP Users and Non-Users
    • Register now
  4. Webinar On-Demand Tame Your Data: Automating Data Cleaning in a Snap!                             In this on-demand webinar series, you will gain practical tips to streamline your data cleaning process and unlock the true potential of your information.
  5.  Valuable blogs to read from JMP User community  how to fit piecewise continuous functions to data sets?
    1. Part 1: Description of the problem and introduction of example data
    2. Part 2: Choosing functions that we want to fit and setting boundary conditions between piecewise seg...
    3. Part 3: Using formula parameters
    4. Part 4: Choosing convergence criteria and algorithms and running the Nonlinear platform to get param...
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