Description:
Over the last 10 years machine learning has been a growing subject of conversation in the mining industry. From the targeting of mineral deposits to connected mining environments, there is no doubt that artificial intelligence plays a growingly important role in the industry. However, the subject can still seem obscure and is often hard to grasp, which creates apprehensions from geoscientists. This workshop will introduce the participants to the applications and evaluation of machine learning in mining geoscience. The main concepts and best practices for applied machine learning to exploration and mining will be reviewed.
Level of Comprehension: Entry level or Intermediate. No prior coding or data science knowledge is required, but a strong interest in either statistics, modelling, or data analysis is recommended.
Top Takeaways:
- The basic principles of machine learning
- How to best apply machine learning to different datasets related to exploration and mining geology
- The ability to evaluate and use the results produced by the machine learning algorithms
The course will be set in a practical framework with a focus on the understanding and usage of different algorithms without detailing the mathematics behind each algorithm. Through a series of case studies, examples, and hands-on exercises the attendees will learn how to best apply machine learning to different datasets and, most importantly, evaluate the results produced by the algorithms. This includes the most recent applications of machine learning in the mining industry such a computer vision and natural language processing.
Each aspect will be presented by a recognized domain expert with practical experience and experience in presenting to an audience and training peers. Time for questions and discussions is included.
Exercises will be completed using a user friendly and intuitive interface for data mining and machine learning.
Attendees will need their own laptop and to install software prior to the course.
Presenters:
- Antoine Caté, Senior Structural Geologist (SRK Canada)
- Tom Carmichael, Datarock, Melbourne, Australia
- Christopher Lawley, Natural Resources Canada, Ottawa, Canada
- Natalie Caciagli, BHP, Toronto, Canada
- Francisca Maepa, BHP, Toronto, Canada
- Jean-Philippe Paiement, VRIfy, Quebec, Canada
