MALITUP : machine learning in theory and practice

Publikationstyp
Conference Poster not in Proceedings
Date Issued
2019
Sprache
English
Author(s)
Kastner, Marvin  orcid-logo
Scheidweiler, Tina 
Institut
Maritime Logistik W-12  
TORE-DOI
10.15480/882.2815
TORE-URI
http://hdl.handle.net/11420/6482
Increasing digitalization, rapid developments in machine learning and exponentially growing accumulation of data lead to new jobs in the areas of data science. 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.
Subjects
Machine learning
Logistics
DDC Class
600: Technik
Funding(s)
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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