Complimentary JMP Event

Singapore JMP® Users Group Meeting

14th November 2019 | P&G Singapore

Registration Fee: FREE

Enhance your analytics game in a collaborative environment

We invite you to attend the upcoming meeting of the Singapore JMP® Users Group. This gathering will give you the opportunity to engage in collaborative learning with fellow JMP users and presenters.

Your involvement will contribute to the collective analytics knowledge of all members through cross-industry networking, support and interactive learning.

Agenda *
Time
Topic
09:30
Welcome and Introductions
09:40

Text Mining in Mandarin Language using JMP
JMP text explorer has empowered us to draw insights from unstructured text, such as ratings & reviews, social media posts, and verbatims. Its support for some Asian languages makes it even more exciting for Asia. This talk shares examples and tips of using JMP for mining Chinese text.

(Lingling Xu, P&G)

10:40
Break
11:00

TED or DOE?
In agriculture, the traditional experimental design (TED) involves hypothesis testing which requires the significant spread of resources across locations, seasons and years in different production systems. In rice, for example, a field biologist expenses 98 hours in managing a field test for about five months. One test incurs costs amount to USD 5,000 to 10,000.
In 2009, Syngenta was interested in designing a proprietary crop protection program that offers value to rice farmers. Such a project typically requires as many as 25 tests per production environment and incurs up to USD 8 million across Asia Pacific. Before investing in such a project, we first ascertained the value of the Syngenta crop protection program in comparison with the local farmer practice.
From the design of experiments (DOE) suite, the selected custom design helped to reduce resources by 75%. With a flexible experimental structure, it also verified an optimum crop program which increased the rice yield. In this paper, we will demonstrate the statistical techniques and value of DOE versus TED in field tests.

(Kee Fui Kon, Syngenta Asia Pacific)

11:35

What´s new in JMP 15 and JMP Pro 15?
JMP 15 and JMP Pro 15 include enhancements and new statistical and analytic capabilities that help you visualize, examine and model data about your products, processes and customers.

(Pin Hu, JMP)

12:20Networking Lunch
14:00

Prediction Modelling Using Neural Networks in JMP
Machine Learning is currently a topic of great interest in many industries, and Neural Network models are one of many choices available to scientists and engineers. Challenges associated with Neural Network models include feature selection for the model input variables, determining the model node structure, strategies to ensure unbiased Training and Validation test sets, and determining model validity. This presentation will provide some basic background on Neural Networks and outline some techniques to address these challenges using JMP

(Dan Towery and Miao Chen, Tokyo Electron Singapore PTE. LTD.)

15:00

Next Users Group Meeting and Wrap-up

(P&G and JMP)

15:30End

* This agenda is subject to change in content or order without prior notice.

Join your peers at the users group meeting to:

  • Learn about the latest JMP products, capabilities and services.
  • Discover the innovative ways others are solving real-world problems with analytics-driven decision making.
  • Improve your efficiency and productivity by learning about new analysis techniques and modelling.
  • Provide feedback that can shape future JMP software features.

Whether you're new to JMP or an experienced user, you're sure to glean new insights into statistical data discovery. Come prepared to ask questions and share any of your favourite tips or tricks.

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