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https://github.com/jesperdramsch/70-years-of-machine-learning-in-geoscience-in-review
Code to recreate the tutorial and figures in the book chapter.
https://github.com/jesperdramsch/70-years-of-machine-learning-in-geoscience-in-review
Last synced: about 2 months ago
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Code to recreate the tutorial and figures in the book chapter.
- Host: GitHub
- URL: https://github.com/jesperdramsch/70-years-of-machine-learning-in-geoscience-in-review
- Owner: JesperDramsch
- License: mit
- Created: 2020-07-17T04:44:35.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2022-05-14T21:15:10.000Z (over 2 years ago)
- Last Synced: 2024-08-04T04:04:30.981Z (5 months ago)
- Language: HTML
- Size: 725 KB
- Stars: 32
- Watchers: 6
- Forks: 7
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
- Citation: CITATION.cff
Awesome Lists containing this project
README
# 70-Years-of-Machine-Learning-in-Geoscience-in-Review
Code to recreate the tutorial and figures in the [book chapter](https://arxiv.org/abs/2006.13311).Find the preprint at: https://arxiv.org/abs/2006.13311
![Decision boundaries](/figures/decision-boundaries.png?raw=true "Decision Boundaries of different Classifiers")
[Book_Examples.ipynb](Book_Examples.ipynb) contains the tutorials and resulting visualizations of the chapter.
[Book_Visualizations.ipynb](Book_Visualizations.ipynb) contains programmatically generated figures for the chapter.
The generated figures are stored in [figures/](figures/) the movie through the 3D decision boundary volume is stored externally at:
Dramsch, Jesper Soeren (2020): 3D decision volume of SVM, Random Forest, and Deep Neural Network. figshare. Media. https://doi.org/10.6084/m9.figshare.12640226