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JMP Practical Workshops for Engineers - Predictive modelling and machine learning In-Person
An in-person workshop - JMP is powerful statistical software designed with scientists and engineers in mind. This is session 2 of 2 covering Predictive modelling and machine learning. There will be a ZOOM link available on request to l.woodland@cranfield.ac.uk for virtual access if you are unable to attend in person.
- Date:
- Thursday, 23rd February 2023
- Time:
- 09:30 - 13:00
- Time Zone:
- UK, Ireland, Lisbon Time (change)
- Location:
- In person at Cranfield campus
- Event location:
- In person at Cranfield campus
- Register now:
- Reserve an in-person place via DATES
- Audience:
- Research students
- Categories:
- 3 - Research data planning and management 4 - Research and writing DRCD - Doctoral Researchers Core Development
Session overview
JMP is powerful statistical software designed with scientists and engineers in mind. As an industry-standard toolset JMP helps companies all over the world making statistical discoveries from data and driving process innovation and sustainable growth – without any need for coding.
JMP’s Analytic Workflow supports a streamlined end-to-end process by offering a broad selection of capabilities for data access, analysis and sharing results.
Learn more about JMP, JMP customers and the analytic workflow under the “Why JMP” menu here.
Who should participate
Any students
Session format
The workshop comprises two sessions on two days. It is recommended to attend BOTH sessions. However, if you can only join session 2, watch this introductory video (45min) first.
Session #1: Data exploration and statistical discovery (2023 Feb 22nd, 9:30 am – 12:30 pm)
- Data access and cleaning
- Exploratory data analysis and visualization
- Basic statistical analyses
- Tips & tricks, learning resources, etc.
Session #2: Predictive modelling and machine learning (2023 Feb 23rd, 9:30 am – 12:30 pm)
- Data modelling
- Model comparison and selection
- Cross-validation to avoid over-fitting
- Model profiling and optimization
These sessions will be practical hands-on using real engineering examples and case studies.
Prerequisites
Participants should pre-install JMP Pro 17, installers for Windows and macOS are available here – log in to Software Self service portal (cranfield.topdesk.net). Find ‘Software’ and then look for JMP version 17 .
