Can River Chemistry Reveal Catchment Lithology?
Learning module
Python
Deep learning
Hydrogeochemistry
A guided, 40–45-minute PyTorch module by Tao Wen comparing linear and neural-network classifiers using river chemistry.
These externally hosted resources introduce skills relevant to using river chemistry and environmental data: finding observations, evaluating possible contaminant sources, and developing data-analysis and machine-learning workflows. They are teaching resources selected for the GRID community; they are not tutorials for a specific GRID release.
Each entry identifies the audience, estimated effort, tools, creators, and original host. Follow the host link for the complete activity, module, or course and its access requirements.
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