Machine Learning in the Environmental Sciences 2019
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Updated
Apr 24, 2019 - Jupyter Notebook
Machine Learning in the Environmental Sciences 2019
Borealis for iTerm
Stock structure evaluation of the Pacific sleeper shark in Alaska waters
Dentist patients applicationУчёт пациентов стоматологической клиники позволяет вести запись пациентов на приём, поиск пациентов, учёт проделанных манипуляций, история посещений и визуализация зубов над которыми были проделаны манипуляции, история манипуляций и медицинских назначений, имеется функционал загрузки снимков для последующего изучения
Predicting suitability for non-native species in the Bering Sea.
Maintained by Josh London (@jmlondon / josh.london@noaa.gov)
Word Cloud of Jon Krakauer's Into the Wild
Machine Learning in the Environmental Sciences
Analysis and QA/QC of continuous water quality data in three watersheds of the Kenai River in 2015-2016.
An empty repo for tracking requests for GAP data
Subsistence networks for Kaktovik, Venetie, and Wainwright collected as part of The Sharing Project, funded by the Bureau of Oceans Energy Management (BOEM)
New geochemical and geochronological insights on forearc magmatism across the Sanak-Baranof belt, southern Alaska: A tale of two belts
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