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3. Learning from data: main techniques
AI algorithms exploit data to develop and operate predictive models, which are useful for different activities and meet different needs in various economic sectors, including the maritime industry. Here, we focus more specifically on one family of AI techniques, machine learning (ML) algorithms. We present the main principles of these algorithms, before outlining a few applications to problems of interest to the maritime industry (see § 4
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Learning from data: main techniques
Bibliography
Websites
L. Chabani, "France announces opposition to seabed mining", National Geographic, November 11, 2022 – https://www.nationalgeographic.fr/environnement/2022/11/la-france-annonce-son-opposition-a-lexploitation-miniere-des-fonds-marins ....
Data and information portals
Archimer
Blue Economy Observatory
https://blue-economy-observatory.ec.europa.eu
DataShom
...Directory
Organizations – Federations – Associations (non-exhaustive list)
Association Aristote
http://www.association-aristote.fr/
French Environment and Energy Management Agency (Ademe)
Armateurs...
Symposiums and conferences
Distributed Event-based Systems
https://dl.acm.org/conference/debs
International Conference on Big Data
https://ieeexplore.ieee.org/xpl/conhome/1802964/all-proceedings
...
Scientific journals
Expert Systems with Applications
https://www.sciencedirect.com/journal/expert-systems-with-applications
Journal of Navigation
https://www.cambridge.org/core/journals/journal-of-navigation
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The Ultimate Scientific and Technical Reference