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A Machine Learning Tutorial for Operational Meteorology, Part I: Traditional Machine Learning. (arXiv:2204.07492v1 [physics.ao-ph])
April 18, 2022, 1:11 a.m. | Randy J. Chase, David R. Harrison, Amanda Burke, Gary M. Lackmann, Amy McGovern
cs.LG updates on arXiv.org arxiv.org
Recently, the use of machine learning in meteorology has increased greatly.
While many machine learning methods are not new, university classes on machine
learning are largely unavailable to meteorology students and are not required
to become a meteorologist. The lack of formal instruction has contributed to
perception that machine learning methods are 'black boxes' and thus end-users
are hesitant to apply the machine learning methods in their every day workflow.
To reduce the opaqueness of machine learning methods and lower …
arxiv learning machine machine learning meteorology part physics tutorial
More from arxiv.org / cs.LG updates on arXiv.org
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