This webinar consists of three 15-minute mini-lectures followed by a 30-minute panel discussion.
Introduction
3:10 The Mining Cycle
Mini-lectures
3:50 Machine Learning as a Tool for Geologists | Antoine Cate, SRK Consulting
23:45 Generating Geological Models in Minutes Using Machine Learning | Steve Sullivan, Maptek
41:35 How Machine Learning Can Magnify Orebody Knowledge | Penny Stewart, Petra
Panel discussion
1:00:18 Q&A discussion introduction
1:00:23 What libraries can I use for drawing maps and creating prediction models in python?
1:02:33 How is it possible to know the uncertainty of the prediction maps?
1:03:44 What is the relation between density data and hotspot dimension when you apply predictive maps?
1:05:11 How do we actually prepare our data for machine learning?
1:08:45 How to deal with outliers?
1:13:48 Should data science financials be part of undergraduate science education?
1:15:27 In the machine learning environment, how do you deal with missing data in data sets?
1:23:00 What would you recommend for early career professionals entering this space to be productive and provide value into the industry?
Moderator
Panelists
- Antoine Cate, SRK Consulting
- Steve Sullivan, Maptek
- Penny Stewart, Petra
This webinar was produced by the Society of Economic Geologists and sponsored by Maptek.
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