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Hello NSF Unidata Community, NSF Unidata is participating in a UCAR-led investigation of the growing need for Machine Learning (ML) training in the Earth System Science (ESS) community, and we need your help to understand your needs. ML skills are typically acquired through specific graduate studies, specialized coursework, self-directed study, or on an ad-hoc basis. We want to hear from you about what we could do to fill some of the ML training gap! Do you need instructor guides to help implement ML topics in your courses, a formal in-person two-week-long course for professionals, a self-paced asynchronous online lesson for students to augment the curriculum, Python notebooks to use in lab sessions or workshops? We want to hear what you need and how we can help. Our survey should take only 5-10 minutes to complete, and will be open through October 17th. We want to hear from as many people as possible; feel free to share the survey with your colleagues in the ESS community. To be clear, we are focused on Machine Learning -- not Agentic AI, Generative AI, or LLMs (e.g., ChatGPT). If you have any questions about the survey, please feel free to reach out to Bryan Guarente (guarente@xxxxxxxx) or Mariana Cains (mgcains@xxxxxxxx). Thank you for helping us understand how we can help you use or teach ML techniques!
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