Open AccessTen Ways to Apply Machine Learning in Earth and Space Sciences
Author(s) -
Jacob Bortnik,
Enrico Camporeale
Publication year - 2021
Publication title -
eos
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 86
eISSN - 2324-9250
pISSN - 0096-3941
DOI - 10.1029/2021eo160257
Subject(s) - space (punctuation) , earth (classical element) , computer science , mathematics education , artificial intelligence , mathematics , physics , astronomy , operating system
Machine learning is gaining popularity across scientific and technical fields, but it’s often not clear to researchers, especially young scientists, how they can apply these methods in their work.