The IGI User Group 2025 meeting, held in June at Hallsannery, was one of our best-attended events to date, welcoming 15 participants from 10 different companies.
Managing Director & Data Scientist
He will be talking about the challenges of applying our new machine learning tools to geochemical data, motivated by work with DNO ASA on producing a holistic understanding the oils and source rocks of the North Sea.
Managing Director & Data Scientist
The second article in the “Art of Science” series, by Dan Cornford. This article extends the initial article which reviewed the notion of clustering and looks at some of the practical implications. IntroductionRecently we have added k-means clustering to p:IGI+, to supplement the data exploration capabilities of the software.
Managing Director & Data Scientist
Predict values with quantified uncertainty
Categorise data and evaluate models with interactive tools
Group similar samples and build a range of models to compare
Pre-process data with advanced options
Gain new insights using advanced machine learning techniques
Use your data to learn models and store these in p:IGI
Explore a range of models, and visualise the uncertainty in your predictions
Evaluate predictions critically with guided workflows and diagnostics
