Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.2814
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Title: MALITUP : machine learning in theory and practice
Language: English
Authors: Kastner, Marvin  
Scheidweiler, Tina 
Burmeister, Hans-Christoph 
Keywords: Machine learning;Logistics;Automated Information System
Issue Date: 2018
Abstract (english): 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.
URI: http://hdl.handle.net/11420/6481
DOI: 10.15480/882.2814
Institute: Maritime Logistik W-12 
Type: Poster
Funded by: Deutschland, Bundesministerium für Bildung und Forschung
Project: MaLiTuP - Maschinelles Lernen in Theorie und Praxis 
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