earth-artificial-intelligence/earth_ai_book_materials
The repo contains the source code, notebooks, and technical resources that assist students to read the book Artificial Intelligence in Earth Science.
This project provides practical code examples and technical resources that accompany the book "Artificial Intelligence in Earth Science." It guides geoscientists, environmental researchers, and students through AI workflows to solve problems like mapping snow cover, forecasting sea ice, or identifying plant diseases. Users get step-by-step tutorials from raw data preparation to interpretable model results for various Earth science applications.
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Use this if you are a geoscientist, environmental analyst, or student looking to apply AI and machine learning techniques to real-world Earth science problems, even if you have limited prior AI experience.
Not ideal if you are looking for a plug-and-play software tool or an API for general-purpose AI development outside of Earth science contexts.
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Jupyter Notebook
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Last pushed
Jul 25, 2024
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