Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.2815
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Title: MALITUP : machine learning in theory and practice
Language: English
Authors: Kastner, Marvin  
Scheidweiler, Tina 
Keywords: Machine learning;Logistics
Issue Date: 2019
Abstract (english): 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.
Conference: All-Hands-Meeting Machine Learning 2019 
URI: http://hdl.handle.net/11420/6482
DOI: 10.15480/882.2815
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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