To serve you better, our new website displays information specific to your location.
Please visit the site and bookmark it for future use.

PDAC 2020 Short Course: Machine Learning for Mining Geoscience

February 28 - 29, 2020 | 8:30 am - 4:30 pm | $999 CAD

Concepts & Application of Machine Learning to Mining Geoscience: A Practical Course

Over the last 5 years, machine learning has been a growing subject of conversation in the mining industry. From targeting of mineral deposits to connected mining environment, there is no doubt that artificial intelligence will play a key role in the industry in the near future. However, the subject can seem obscure and is often hard to grasp, which creates apprehensions from geoscientists.

This workshop intends to 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. 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.

No prior coding or data science knowledge is required, but a strong interest in either statistics, modelling or data analysis is recommended. Exercises will be completed using a user-friendly and intuitive interface for data mining and machine learning. Attendees will need their own laptop.

Register Now


SRK Instructor
Antoine Cate, PhD
acate@srk.com
 
Antoine is structural geology consultant for SRK Toronto. He has 8 years of both academia and industry field experience working on gold and base metal deposits. He is an expert in the applications of data science and machine learning in geosciences, including for prospectivity analysis. He was the leader of the team that was awarded the second place at the Integra Gold Rush challenge in 2016 and was involved in the founding of two companies involved in machine learning and the mining industry. Antoine current work at SRK includes structural field investigation, 3D modelling, and the development of innovative tools applied to structural geology, and mineral exploration.
 
 
SRK North America