PDAC 2019 Short Course: Concepts and Application of Machine Learning to Mining Geoscience

Over the last 5 years Machine Leaning has been a growing subject of conversation in the mining industry.
Friday, March 1 - Saturday, March 2, 2019   |   8:30 a.m — 4:30 p.m.

Room 716   |   Metro Toronto Convention Centre   |   Toronto, Ontario

From targeting of mineral deposits to connected mining environment, there is no doubt that artificial intelligence will play a key role in our industry in the near future. However, the subject can seem obscure and is often hard to grasp, which creates apprehensions from geoscientists.

This practical 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. 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 course is organized by Mira Geoscience

Entry-level. Participants should have a strong interest in either statistics, modelling or data analysis. No prior coding or data science knowledge is required. Exercises will be completed using a user-friendly and intuitive interface for data mining and Machine Learning. Participants are required to bring their own laptop.
Early Rate - Member $699.99   |   Non-member $799.99

Regular Rate - Member $899.99   |   Non-member $999.99   |   Student $399.99

Click to register or Contact Sarah Nazar (snazar@pdac.ca   |   416 362 1969 ext. 293)


SRK Instructor

Antoine Cate, PhD
Antoine is structural geology consultant for SRK Toronto. He has 7 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.

PDAC 2019


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