Repository for Machine Learning in Geotechnics
Project description
Repository for Machine Learning in Geotechnics
This is the beginning of an exciting effort in lowering the barrier of entry to Machine Learning for Geoprofessionals by:
- Distributing relevant and interesting toy datasets to practice with (now)
- Offering tools that can make applying ML easier, especially for beginners (soon)
TRB2021 AKG70 Presentation
Click on the image below to review the presentation introducing MLgeo given by Nick Machairas during the committee meeting of AKG70 at TRB Annual Meeting 2021.
License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
You are free to Share (copy and redistribute the material in any medium or format) and Adapt (remix, transform, and build upon the material for any purpose, even commercially), under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. More details here.
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