File:NASA ARSET- Model Tuning, Parameter Optimization, & Additional Machine Learning Algorithms, Part 3-3 (M369bW8FJpQ).webm
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English: Fundamentals of Machine Learning for Earth Science
Part 3: Model Tuning, Parameter Optimization, and Additional Machine Learning Algorithms Trainers: Jordan A. Caraballo-Vega, Caleb Spradlin, Jian Li, Jules Kouatchou -Overview of model tuning -Overview of parameter optimization -Exercise to optimize existing model -Overview of model explainability and interpretability -Overview of additional machine learning algorithms -Hands on Jupyter Notebook Exercise: Improvements to MODIS Water Classification Model -Post-session assignment -Q&A Session You can access all training materials from this webinar series on the training webpage: https://go.nasa.gov/3maLkln This training was created by NASA's Applied Remote Sensing Training Program (ARSET). ARSET is a part of NASA's Applied Science's Capacity Building Program. Learn more about ARSET: https://appliedsciences.nasa.gov/what-we-do/capacity-building/arset |
| Date | 5 May 2023, 15:20:24 (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 | |
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| current | 17:20, 14 April 2024 | 1 h 38 min 48 s, 1,920 × 1,080 (687.23 MB) | OptimusPrimeBot (talk | contribs) | Imported media from https://www.youtube.com/watch?v=M369bW8FJpQ |
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