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TECHNICALLY SPEAKING

Live Webinar

Predictive Insights: Machine Learning Simplified with JMP® Pro

Date: Tuesday, January 28
Time: 2:00-2:45 p.m. ET | 11:00 a.m. PT
Duration: 45 minutes
Registration: Free

Discover how JMP Pro empowers you to turn raw data into insights using predictive modeling and machine learning techniques. This webinar showcases how JMP Pro's intuitive features make advanced analytics accessible, even for non-statisticians. Whether you’re looking to develop new skills or refine your approach, this session provides practical strategies and real-world examples to enhance decision making across industries.

The session concludes with Q&A with the speaker.

Key Highlights:

  • Simplified machine learning: Leverage robust tools designed to simplify complex analyses, making machine learning accessible to all skill levels.
  • Model validation and tuning: Ensure accuracy and reliability by creating validation schemes and fine-tuning predictive models.
  • Advanced tools: Explore such capabilities as the Torch Add-In for deep learning, functional data analysis, the Functional Data Explorer (FDE), and Python integration
  • Streamlined predictive workflows: Easily integrate new data into models and streamline the modeling process, ensuring adaptability to real-world scenarios.

Explore how JMP Pro makes predictive modeling straightforward and effective, empowering you to uncover patterns and drive smarter, data-informed decisions. Register today and see how you can revolutionize your approach to predictive analytics.

About the Presenters


Kemal Oflus,
Principal Systems Engineer

Kemal Oflus is a Principal Systems Engineer for JMP Statistical Discovery, which creates interactive and highly visual statistical discovery software designed for scientists and engineers. He supports sales and customer development in the Southwest region of the U.S. as technical lead.

An applied physicist by training, Kemal previously worked as a rocket scientist using statistical methods to support risk assessment on the design and simulation of several projects for NASA and U.S. Air Force. He is a member of the American Society of Quality and the American Statistical Association. Kemal regularly delivers talks and keynotes on data mining and predictive modeling; he also teaches data science at the University of California Riverside as a part-time lecturer.


Tom Donnelly,
Principal Systems Engineer

Tom Donnelly is a Principal Systems Engineer at JMP, where he supports users in the defense and aerospace sectors. He has been actively using and teaching design of experiments (DOE) methods for the past 35 years to speed development and optimization of products, processes and technologies. Prior to joining JMP, Tom worked as an analyst for the Modeling, Simulation & Analysis Branch of the U.S. Army’s Edgewood Chemical Biological Center. For 20 years, Tom served as a partner with the first DOE software company to enter the market, teaching more than 300 industrial short courses to engineers and scientists.

Register now to attend online

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