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2020 | OriginalPaper | Chapter

Towards the Machine Learning Algorithms in Telecommunications Business Environment

Authors : Moisés Loma-Osorio de Andrés, Aneta Poniszewska-Marańda, Luis Alfonso Hernández Gómez

Published in: Information Systems

Publisher: Springer International Publishing

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Abstract

We live in times where companies and individuals are dealing with extremely large amounts of data coming from all different kind of sources. This data includes a lot of very valuable information, which, most of the time, cannot be inferred at first sight. Therefore, in today’s businesses there is a growing necessity of discovering efficient and useful information out of the data that has been gathered. This is the reason why Machine Learning, a technology that has been developed since mid-20th century, is one of the biggest growing technologies in this last decade, being one of its most popular applications in the field of data. The paper presents an analysis what techniques are available for starting with a Data Science project, how easy they are to implement, and how they can be applied in a real world case. The data that was worked with for this project was gathered from a telecommunications company.

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Metadata
Title
Towards the Machine Learning Algorithms in Telecommunications Business Environment
Authors
Moisés Loma-Osorio de Andrés
Aneta Poniszewska-Marańda
Luis Alfonso Hernández Gómez
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-63396-7_6

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