Machine learning in logistics : Increasing the performance of machine learning algorithms on two specific logistic problems

Machine learning in logistics : Increasing the performance of machine learning algorithms on two specific logistic problems

Data Ductus, a multination IT-consulting company, wants to develop an AI that monitors a logistic system and looks for errors. Once trained enough, this AI will suggest a correction and automatically right issues if they arise. This project presents how one works with machine learning problems and p...

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Bibliographic Details
Main Author: Lind Nilsson, Rasmus
Format: Others
Language:English
Published: Luleå tekniska universitet, Institutionen för system- och rymdteknik 2017
Subjects:
Machine learning
confusion matrix
performance
random forest
naïve bayes
logistic regression
cross-validation
regularisation
Computer Sciences
Datavetenskap (datalogi)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-64761

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-64761

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