Add-Ons

0 attending

0

Tuesday, October 21, 2025

Pecos

JMP’s powerful profiler platforms are designed to help scientists and engineers visualize, interpret, and optimize statistical models. This hands-on workshop offers a comprehensive exploration of the profilers. We’ll start with an overview of the profiler and its components, then move to profiler options and features, including JMP Pro features. By the end of the workshop, you’ll be able to navigate the profiler interface, interpret complex model behavior, and apply the profilers to real-world problems.

0 attending

0

I will attend

0 attending

0

Tuesday, October 21, 2025

San Marcos

Performing experiments correctly isn’t always straightforward, especially when you have a factor that’s difficult to change or reset between runs – a common challenge in industrial settings. If you don’t account for this restriction in your design and analysis, your results can be misleading. In this workshop, learn how to handle this real-world issue using JMP Custom Design. Through a practical case study with a hard-to-change factor, we show you how to design a split-plot experiment and analyze the results using restricted maximum likelihood estimation (REML). This session is ideal for intermediate to advanced JMP users who are already familiar with ANOVA, regression, and the basics of DOE.

0 attending

0

I will attend

0 attending

0

Tuesday, October 21, 2025

Trinity A

We are in the midst of incredible and exponential growth of applications of artificial intelligence and machine learning across all branches of science and engineering. The wonderful world of chemistry offers several intriguing examples where applications of modern methods can bring key new insights. We walk step-by-step through a few use cases, illustrating good analysis principles along the way. The XGBoost, Torch Deep Learning, and JMP Assistant add-ins provide easy and powerful access, covering a broad range of predictive modeling problems for image, unstructured text, and tabular data. A primary goal is to provide you with increased know-how and confidence in applying modern AI/ML models with best practices.

0 attending

0

I will attend

0 attending

0

Tuesday, October 21, 2025

Trinity B

Bayesian optimization is an active learning technique that will dramatically reduce the time and cost of getting new products to market. It leverages all the information available, learning from the responses to make recommendations for what to try next. This workshop introduces Bayesian Optimization in JMP Pro 19. With this new platform, the methodology will be instantly approachable to anyone familiar with the JMP Profiler’s incredible generality for handling multiple responses and input constraints. While the platform is easy for novices to learn, requiring no prior statistical or machine learning training to get started, it is not a black box. Individuals with modeling experience can quickly understand how it works. The assumptions and requirements are so minimal that existing practitioners may find they have more habits to unlearn than new concepts to learn.

0 attending

0

I will attend

0 attending

0

Tuesday, October 21, 2025

Pecos

JMP’s powerful profiler platforms are designed to help scientists and engineers visualize, interpret, and optimize statistical models. This hands-on workshop offers a comprehensive exploration of the profilers. We’ll start with an overview of the profiler and its components, then move to profiler options and features, including JMP Pro features. By the end of the workshop, you’ll be able to navigate the profiler interface, interpret complex model behavior, and apply the profilers to real-world problems.

0 attending

0

I will attend

0 attending

0

Tuesday, October 21, 2025

Trinity A

We are in the midst of incredible and exponential growth of applications of machine learning across all branches of science and engineering. The wonderful world of chemistry offers several intriguing examples where applications of modern methods can bring key new insights. We walk step-by-step through a few use cases, illustrating good analysis principles along the way. The XGBoost, Torch Deep Learning, and JMP Assistant add-ins provide easy and powerful access, covering a broad range of predictive modeling problems for image, unstructured text, and tabular data. A primary goal is to provide you with increased know-how and confidence in applying modern ML models with best practices. JMP Pro is needed for this workshop.

0 attending

0

I will attend

0 attending

0

Tuesday, October 21, 2025

San Marcos

Performing experiments correctly isn’t always straightforward, especially when you have a factor that’s difficult to change or reset between runs – a common challenge in industrial settings. If you don’t account for this restriction in your design and analysis, your results can be misleading. In this workshop, learn how to handle this real-world issue using JMP Custom Design. Through a practical case study with a hard-to-change factor, we show you how to design a split-plot experiment and analyze the results using restricted maximum likelihood estimation (REML). This session is ideal for intermediate to advanced JMP users who are already familiar with ANOVA, regression, and the basics of DOE.

0 attending

0

I will attend

0 attending

0

Tuesday, October 21, 2025

Pecos

Sometimes exact values of data are unknown: medical studies looking at patient survival after intervention, product reliability studies looking at failures for reliable products that don’t fail, or studies looking at contaminants below a detection limit. In these studies, simply removing data without exact values or substituting ad hoc values can lead to erroneous results. The inexact data in these studies are called censored or suspended data. Through case studies in this hands-on workshop, learn how censoring works and how to estimate distributions with censored data. Next, discover how JMP adapts models for analysis of variance or regression to handle inexact data.

0 attending

0

I will attend

0 attending

0

Tuesday, October 21, 2025

Trinity A

Many real-world data problems could be solved easily with ideal data – the problem’s complexity is often in extracting that ideal data from the raw data. The goal of this workshop is to expose attendees to important text-related tools in JMP to help solve real problems. Four general areas are covered: extracting information from text columns, finding and fixing incorrect text values, aggregating data, and summarizing information. Specifically, this presentation covers basic Formula Editor functions (such as Substr, Contains, and Word), Recode, regular expressions, pattern matching functions, and Text Explorer.

0 attending

0

I will attend

0 attending

0

Tuesday, October 21, 2025

San Marcos

Discover how to work smarter with JMP Workflow Builder! This powerful tool makes it easy to capture your steps as you work, without writing any code. Just start recording, do your work, and save the workflow to reuse anytime or to share with colleagues. In this hands-on session, learn how to get started with Workflow Builder to automate routine tasks and streamline your analysis process. We also explore how you can customize your workflows to make them more flexible and interactive using built-in features that generate code for you. Whether you're brand new to Workflow Builder or curious about what else it can do, this workshop shows you how to get the most out of this tool. A basic familiarity with the JMP Scripting Language (JSL) is helpful but not required.

0 attending

0

I will attend