How accessible is machine learning for non-computer scientists? Application of deep learning in physical oceanography and deep sea ecology
Abstract
We share our experience in applying deep neural network machine learning technology to connect physical oceanographic features in the ocean with biomass distribution in the mesopelagic zone. The challenge for is that we are not machine learning experts and we started by taking machine learning courses online. This is arguable how most scientists and educators will be introduced to machine learning. We share our successes, failures, and lessons learned.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- Bibcode:
- 2018AGUFMED53E0761G
- Keywords:
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- 0815 Informal education;
- EDUCATIONDE: 0820 Curriculum and laboratory design;
- EDUCATIONDE: 1920 Emerging informatics technologies;
- INFORMATICSDE: 1942 Machine learning;
- INFORMATICS