Dr David Briguglio
Dr David Briguglio
Imdex, Parkdale, Australia
Overview
It’s 2026, and the use of Artificial Intelligence has become ubiquitous. It is rapidly disrupting industries across sectors all over the world. The advantages that AI algorithms offer to everyday workflows include speed and consistency. However, like all new technologies, any gains can be rapidly eroded away by incorrect application or an incomplete understanding of associated technical and business risks.
At IMDEX, we believe that understanding the strengths and weaknesses of the underlying processes is paramount to ensuring your ability to maximise value and minimise risk associated with implementing these powerful technologies.
This full-day course is designed to equip you with fundamental data science understanding and skills. The course begins with a theory component, introducing commonly used data science terminology and algorithms.
Following the theoretical component, you will use the Orange Data Mining software to explore a host of data-driven and directed data science modelling processes. Acknowledging that compared to data from other disciplines, geoscience data requires special attention before, during and after modelling, we will be using real geological data and discussing the importance of geological pre- and post-processing in the context of data science modelling. You will then learn how to spatially and geologically evaluate model performance, ensuring a true understanding of how your model will perform on new data.
Please bring your laptop, with bonus points if you have installed the latest version of Orange Data Mining.
What are the learning outcomes?
Understand of key terminology, how AI can be applied in mining, importance of subject matter expertise, common misuses of AI, understand and apply key technical concepts of unsupervised ML/supervised ML, model design, gain an understanding of advanced algorithms including deep learning architectures and where/when these are best applied.
Who should attend?
Geoscientists, Data Scientists, Exploration Managers.