Data Science in Practice

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,

Éditeur :

Springer


Collection :

Studies in Big Data

Paru le : 2018-09-19

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Description
This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and time again in the mainstream media. However, our understanding of what they actually mean often remains limited. This book provides a general overview of the terms and approaches used broadly in data science, and provides detailed information on the underlying theories, models, and application scenarios. Divided into three main parts, it addresses what data science is; how and where it is used; and how it can be implemented using modern open source software. The book offers an essential guide to modern data science for all students, practitioners, developers and managers seeking a deeper understanding of how various aspects of data science work, and of how they can be employed to gain a competitive advantage.
Pages
195 pages
Collection
Studies in Big Data
Parution
2018-09-19
Marque
Springer
EAN papier
9783319975559
EAN PDF
9783319975566

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
4762 Ko
Prix
126,59 €
EAN EPUB
9783319975566

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
3686 Ko
Prix
126,59 €