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Data science in practice

Said, Alan.

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Data science in practice

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data science in practice/ edited by Alan Said, Vicenc Torra.
other author:	Said, Alan.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	viii, 195 p. :ill., digital ;24 cm.
[NT 15003449]:	Artiﬁcial intelligence -- Machine learning: a concise overview -- Information fusion -- Information retrieval & recommender systems -- Business intelligence -- Data privacy -- Visual data analysis -- Complex data analysis -- Big data programming with Apache Spark.
Contained By:	Springer eBooks
Subject:	Big data. -
Online resource:	https://doi.org/10.1007/978-3-319-97556-6
ISBN:	9783319975566

Data science in practice
Data science in practice[electronic resource] /edited by Alan Said, Vicenc Torra. - Cham :Springer International Publishing :2019. - viii, 195 p. :ill., digital ;24 cm. - Studies in big data,v.462197-6503 ;. - Studies in big data ;v.46..

Artiﬁcial intelligence -- Machine learning: a concise overview -- Information fusion -- Information retrieval & recommender systems -- Business intelligence -- Data privacy -- Visual data analysis -- Complex data analysis -- Big data programming with Apache Spark.

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.

ISBN: 9783319975566

Standard No.: 10.1007/978-3-319-97556-6doiSubjects--Topical Terms:

2045508
Big data.

LC Class. No.: QA76.9.B45 / D383 2019

Dewey Class. No.: 005.7

Data science in practice
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245 0 0 $a Data science in practice $h [electronic resource] / $c edited by Alan Said, Vicenc Torra.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a viii, 195 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in big data, $x 2197-6503 ; $v v.46
505 0 $a Artiﬁcial intelligence -- Machine learning: a concise overview -- Information fusion -- Information retrieval & recommender systems -- Business intelligence -- Data privacy -- Visual data analysis -- Complex data analysis -- Big data programming with Apache Spark.
520 $a 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.
650 0 $a Big data. $3 2045508
650 0 $a Machine learning. $3 533906
650 0 $a Data mining. $3 562972
650 0 $a Quantitative research. $3 919734
650 0 $a Artificial intelligence $x Data processing. $3 655284
650 0 $a Business intelligence. $3 669648
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Big Data/Analytics. $3 2186785
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
700 1 $a Said, Alan. $3 3381639
700 1 $a Torra, Vicenc. $3 1004861
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in big data ; $v v.46. $3 3381640
856 4 0 $u https://doi.org/10.1007/978-3-319-97556-6
950 $a Intelligent Technologies and Robotics (Springer-42732)