Article: Random forest rock type classification with integration of geochemical and photographic data (Trott et al., 2022)

Do you want to integrate machine learning into your exploration workflow, but feel precluded from doing so because of complicated terminology in the majority of the literature? Have a crack at Mac's first paper and then join us for this discussion on how he implemented a relatively simple, but well-constrained, study to provide explorationists with confidence on joining the ML push towards making core logging more quantitative. 

For our young listeners, Mac has some twists and turns on his way towards his current position as a PhD student at Queen's as well as being an embedded researcher at Goldspot. 

Also... the tea is good.