語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
到查詢結果
[ author_sort:"torra, vicenc." ]
切換:
標籤
|
MARC模式
|
ISBD
Data science in practice
~
Said, Alan.
Data science in practice
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Data science in practiceedited by Alan Said, Vicenc Torra.
其他作者:
Said, Alan.
出版者:
Cham :Springer International Publishing :2019.
面頁冊數:
viii, 195 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Big data.
電子資源:
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)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000165631
電子館藏
1圖書
電子書
EB QA76.9.B45 D232 2019 2019
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-3-319-97556-6
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入