https://youtu.be/oCgpdh0PAqs

For more videos about geology, geochemistry, AI, and much more, please visit and subscribe for free here: Golden droplets- https://shorturl.at/fetV1 Geovoices- https://tinyurl.com/m23pp4pb News about geology- https://tinyurl.com/3979urhy These 11 sources provide a comprehensive look at the intersection of geology, mineral deposits, and data science techniques for exploration. One major theme is mineral prospectivity mapping (MPM), with sources discussing the application of machine learning (ML), including supervised, unsupervised, and semi-supervised methods like Deep Convolutional Neural Networks for identifying potential mineral areas. Specifically, the texts examine porphyry copper deposits, detailing their formation through hydrothermal fluids from magma chambers, their global distribution, and the associated geological features like hydrothermal alteration layers and porphyritic rock textures. Furthermore, a detailed study of the spatial and temporal distribution of gold deposits in the Urals is presented, linking gold mineralization to the tectonic evolution of the orogen and deep-seated structural controls. Collectively, the sources illustrate how both advanced data analysis of geochemical data and traditional geological understanding are crucial for modern mineral exploration. The bridge between Academy and Industry! P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly Valls Geoconsultant ORCID ID- https://orcid.org/0000-0002-5421-0914 Scopus Author ID: 7003369619/35335510700 ResearcherID: S-6604-2018 If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets