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The stock replenishment through the machine learning / Hadrien Hachez

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Titre :	The stock replenishment through the machine learning
Type de document :	Travail de fin d'études
Auteurs :	Hadrien Hachez, Auteur ; Patrick Tack, ; Sébastien Combefis,
Editeur :	ECAM
Année de publication :	2020
Note générale :	Avanade
Langues :	Anglais (eng)
Index. décimale :	TFE - Informatique (ECAM)
Résumé :	In 1959, the American computer scientist Arthur Samuel first used the term "machine learning" for his self-taught draughts program. This field of study of artificial intelligence is based on mathematics and statistics to give a machine the ability to learn on the basis of the data provided to it. Sixty years later, this ubiquitous discipline appears to be fundamental in an increasingly dynamic and complex world. The commercial sector is a perfect example of this: faced with an increasingly demanding clientele, logistics must adapt. In the field of stock management, transport optimization and the preparation of future orders, the predictive nature comes into play and requires rigorous analysis.

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