國立高雄大學圖資館 |

Language: English

Back

Data science in practice

Said, Alan.

Data science in practice

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data science in practiceedited by Alan Said, Vicenc Torra.
other author:	Said, Alan.
Published:	Cham :Springer International Publishing :2019.
Description:	viii, 195 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Big data.
Online resource:	https://doi.org/10.1007/978-3-319-97556-6
ISBN:	9783319975566$q(electronic bk.)

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.1..

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$q(electronic bk.)

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

609582
Big data.

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

Dewey Class. No.: 005.7

Data science in practice
LDR:02213nmm a2200337 a 4500 001 552462
003 DE-He213
005 20190614164125.0
006 m d
007 cr nn 008maaau
008 191106s2019 gw s 0 eng d
020 $a 9783319975566$q(electronic bk.)
020 $a 9783319975559$q(paper)
024 7 $a 10.1007/978-3-319-97556-6 $2 doi
035 $a 978-3-319-97556-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.B45 $b D383 2019
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 005.7 $2 23
090 $a QA76.9.B45 $b D232 2019
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 609582
650 0 $a Machine learning. $3 188639
650 0 $a Data mining. $3 184440
650 0 $a Quantitative research. $3 367894
650 0 $a Artificial intelligence $x Data processing. $3 215089
650 0 $a Business intelligence. $3 202057
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Big Data/Analytics. $3 742047
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
700 1 $a Said, Alan. $3 833213
700 1 $a Torra, Vicenc. $3 346839
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Studies in big data ; $v v.1. $3 675357
856 4 0 $u https://doi.org/10.1007/978-3-319-97556-6
950 $a Intelligent Technologies and Robotics (Springer-42732)