File:NASA ARSET- Training Data and Land Cover Classification Example, Part 2-3 (5RIoU9ImnH0).webm
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Fundamentals of Machine Learning for Earth Science. Part 2: Training Data and Land Cover Classification Example. Trainers: Jordan A. Caraballo-Vega, Caleb Spradlin, Jian Li, Jules Kouatchou.
Summary
[edit]| Description |
English: Fundamentals of Machine Learning for Earth Science
Part 2: Training Data and Land Cover Classification Example Trainers: Jordan A. Caraballo-Vega, Caleb Spradlin, Jian Li, Jules Kouatchou -Download the training data -Exploratory data analysis -Extracting training data from tabular dataset -Extracting training data from raster dataset -Training and inference of tabular and raster dataset -Metrics and model evaluation -Hands on Jupyter Notebook Exercise: MODIS Water Classification Case Study -Post-session assignment -Q&A Session |
| Date | 28 April 2023, 17:22:30 (upload date) |
| Source | YouTube – View/save archived versions on archive.org and archive.today |
| Author | NASA |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 17:21, 14 April 2024 | 1 h 32 min 14 s, 1,920 × 1,080 (576.44 MB) | OptimusPrimeBot (talk | contribs) | Imported media from https://www.youtube.com/watch?v=5RIoU9ImnH0 |
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