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MALITUP : machine learning in theory and practice
Citation Link: https://doi.org/10.15480/882.2814
Publikationstyp
Conference Poster not in Proceedings
Date Issued
2018
Sprache
English
Author(s)
Institut
TORE-DOI
TORE-URI
Increasing digitalization, rapid developments of machine learning and artificial intelligence as well as exponentially growing accumulation of data and automisation lead to new jobs in the areas of IT, data science and research. Likewise in the field of (maritime) logistics, digitalization is becoming increasingly important, resulting in an ever-increasing demand for trained personnel in the field of machine learning. One facilitator of maritime digitalization was the introduction of the Automated Identification System, which opened up a number of possibilities using machine learning in the maritime sector.
Subjects
Machine learning
Logistics
Automated Information System
DDC Class
600: Technik
More Funding Information
Deutschland, Bundesministerium für Bildung und Forschung
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Name
20180320_MaLiTuP_Vorstellung.pdf
Size
413 KB
Format
Adobe PDF