Enhancing Insights: Image Analysis and Comprehensive Data Exploration in JMP® Pro

During this session, our expert, Clovis Weisbart, gives an in-depth demonstration of JMP's predictive analytics software, JMP Pro.

Observe how to harness the power of data to predict trends, identify opportunities, and make informed decisions. Specifically, learn how to use validation columns to avoid model overfitting, leading to more accurate predictions and useful insights. With JMP Pro's Model Screening platform, you can compare multiple predictive models all within one window, ultimately selecting the best performer. Finally, you'll get a sneak peek into the new Torch Add-in, which seamlessly integrates PyTorch, a leading deep learning framework, into the JMP Pro environment. Through this add-in, you'll unlock advanced analytical capabilities such as image recognition.

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Clovis Weisbart is a Senior Systems Engineer at JMP Statistical Discovery. Prior to joining JMP, Clovis worked in the R&D Wet Process Development group at Micron Technology and as an R&D Semiconductor Process Engineer at Keysight Technologies, the leading provider of electronic design and measurement solutions. In both roles, he used JMP for process control and quality, design of experiments, and predictive modelling.

Clovis holds a bachelor’s in engineering physics from the University of California, Berkeley, and a PhD in material science and engineering from the University of Arizona. When he’s not helping his clients solve complex problems, Clovis enjoys playing tennis, travelling, reading fantasy series, and hiking.