MALITUP : machine learning in theory and practice

Publikationstyp
Conference Poster not in Proceedings
Publikationsdatum
2018
Sprache
English
Author
Kastner, Marvin orcid-logo
Scheidweiler, Tina 
Burmeister, Hans-Christoph 
Institut
Maritime Logistik W-12 
DOI
10.15480/882.2814
TORE-URI
http://hdl.handle.net/11420/6481
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.
Schlagworte
Machine learning
Logistics
Automated Information System
DDC Class
600: Technik
Projekt(e)
MaLiTuP - Maschinelles Lernen in Theorie und Praxis 
More Funding Information
Deutschland, Bundesministerium für Bildung und Forschung
Lizenz
http://rightsstatements.org/vocab/InC/1.0/
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