Concepts and application of machine learning to mining geoscience: A practical course

Friday, February 28, 2020 -
Saturday, February 29, 2020
Room 716
Organizer: SRK Consulting (Canada)
8:30 AM - 4:30 PM

Concepts and application of machine learning to mining geoscience: A practical course

Over the last 5 years Machine Leaning (ML) 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 our industry in the near future. However, the subject can 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.

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.

Jean-Philippe Paiement, Mira Geoscience
Martin Blouin, Geolearn
Antoine Cate, SRK Consulting (Canada) Inc.
Erwan Gloaguen, INRS-ETE Quebec

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.

Includes course material, continental breakfast and lunch

Early Rate:
Member $699.99 Non-Member $799.99

Regular rate:
Member $899.99 Non-member $999.99
Student $399.99
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