Location:
Micron Semiconductor - Event Room – GB2 Ground Floor
Via Trento, 26
Vimercate, Italy
Thursday, 06 March - 09:00 – 15:00 CET
Register here: JMP Inspire
View more...Separate link for the 15:00-16:00 Python Integration session: JMP Inspire
Presenters
Peter Hersch, Brady Brady and Don Mc Cormack (JMP)
9:00 - 9:15 – Welcome and Introductions
9:15 - 10:00 – Graph Builder Tips & Tricks
Unlock the full potential of Graph Builder with its intuitive drag-and-drop interface. Explore how to create stunning visuals quickly and customize your visuals for maximum impact. This session also includes advanced tips and tricks to help you streamline workflows and design visuals tailored to your specific needs—ideal for both new and experienced users.
10:00 - 10:15 – Break
10:15 - 11:00 – Essentials of DOE
Learn how to leverage the power of Design of Experiments (DOE) platforms to optimize your experiments and gain deeper insights. Using a semiconductor example, this session will guide you through practical approaches to streamline your DOE workflow, improve efficiency, and ensure robust results. Ideal for anyone looking to make data-driven decisions with confidence.
11:00 - 11:45 – Building and Understanding Predictive Models
Explore how machine learning algorithms can uncover patterns in historical data and generate accurate predictions for future outcomes. This session will demonstrate the application of Neural Networks, Tree-based methods, Support Vector Machines, and advanced regression techniques. Gain insights into selecting the right model and interpreting results to drive informed decision-making.
11:45 - 12:00 – Interactive Q&A Session
12:00 - 13:15 – Lunch
13:15 - 14:00 – Automating report generation
Learn how to streamline your analysis with workflows, scripts, and add-ins, saving time and eliminating repetitive tasks. Discover techniques for automating and effectively sharing reports to enhance collaboration and efficiency.
14:00 - 14:45 – What’s new in JMP 18
Explore the latest features in JMP 18, designed to simplify workflows and enhance your analytical experience. Highlights include:
- Presets: Easily save and reuse analysis configurations.
- Column Manager: Organize and manage data with improved efficiency.
- Enhanced Python Integration.
14:45 - 15:00 – Break
15:00 - 16:00 – Python Integration in JMP 18 – Interactive Q&A Session
Register for the Python Integration session: JMP Inspire
Join us for this engaging session where we dive into Python integration in JMP 18, a powerful new feature in the latest version.
- Hands-on demonstration: Learn how to install Python packages and seamlessly integrate Python with JMP.
- Enhanced coding experience: Explore the new built-in Python editor, providing a familiar yet streamlined programming environment.
- Robust integration features: Access JMP data tables directly from Python and transfer Python data into JMP with ease.
- Multi-software compatibility: Discover how JMP works alongside tools like SAS, R, and MATLAB using Python libraries.
Bring your questions and get ready to explore how this integration transforms your workflows and unlocks new possibilities in data analysis.
