東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Applied analytics through case studi...

Gupta, Deepti.

FindBook

Google Book

Amazon

博客來

Applied analytics through case studies using SAS and R = implementing predictive models and machine learning techniques /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Applied analytics through case studies using SAS and R/ by Deepti Gupta.
其他題名:	implementing predictive models and machine learning techniques /
作者:	Gupta, Deepti.
出版者:	Berkeley, CA :Apress : : 2018.,
面頁冊數:	xx, 404 p. :digital ;24 cm.
內容註:	Chapter 1: Role of Analytics in Various Industries -- Chapter 2: Banking Case Study with Analytical Solutions -- Chapter 3: Retail Case Study with Analytical Solutions -- Chapter 4: Telecommunication Case Study with Analytical Solutions -- Chapter 5: Healthcare Case Study with Analytical Solutions -- Chapter 6: Airline Case Study with Analytical Solutions -- Chapter 7: FMCG Case Study with Analytical Solutions.
Contained By:	Springer eBooks
標題:	Business enterprises - Case studies. - Evaluation -
電子資源:	http://dx.doi.org/10.1007/978-1-4842-3525-6
ISBN:	9781484235256

Applied analytics through case studies using SAS and R = implementing predictive models and machine learning techniques /
Gupta, Deepti.

Applied analytics through case studies using SAS and Rimplementing predictive models and machine learning techniques /[electronic resource] :by Deepti Gupta. - Berkeley, CA :Apress :2018. - xx, 404 p. :digital ;24 cm.

Chapter 1: Role of Analytics in Various Industries -- Chapter 2: Banking Case Study with Analytical Solutions -- Chapter 3: Retail Case Study with Analytical Solutions -- Chapter 4: Telecommunication Case Study with Analytical Solutions -- Chapter 5: Healthcare Case Study with Analytical Solutions -- Chapter 6: Airline Case Study with Analytical Solutions -- Chapter 7: FMCG Case Study with Analytical Solutions.

Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data. The most challenging part of solving industrial business problems is the practical and hands-on knowledge of building and deploying advanced predictive models and machine learning algorithms. Applied Analytics through Case Studies Using SAS and R is your answer to solving these business problems by sharpening your analytical skills.

ISBN: 9781484235256

Standard No.: 10.1007/978-1-4842-3525-6doiSubjects--Uniform Titles:

SAS (Computer file)
Subjects--Topical Terms:

3339117
Business enterprises
--Evaluation--Case studies.

LC Class. No.: HB3730 / .G878 2018

Dewey Class. No.: 338.7

Applied analytics through case studies using SAS and R = implementing predictive models and machine learning techniques /
LDR:02125nmm a2200289 a 4500 001 2152639
003 DE-He213
005 20190213155833.0
006 m d
007 cr nn 008maaau
008 190403s2018 cau s 0 eng d
020 $a 9781484235256 $q (electronic bk.)
020 $a 9781484235249 $q (paper)
024 7 $a 10.1007/978-1-4842-3525-6 $2 doi
035 $a 978-1-4842-3525-6
040 $a GP $c GP
041 0 $a eng
050 4 $a HB3730 $b .G878 2018
082 0 4 $a 338.7 $2 23
090 $a HB3730 $b .G977 2018
100 1 $a Gupta, Deepti. $3 3259123
245 1 0 $a Applied analytics through case studies using SAS and R $h [electronic resource] : $b implementing predictive models and machine learning techniques / $c by Deepti Gupta.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2018.
300 $a xx, 404 p. : $b digital ; $c 24 cm.
505 0 $a Chapter 1: Role of Analytics in Various Industries -- Chapter 2: Banking Case Study with Analytical Solutions -- Chapter 3: Retail Case Study with Analytical Solutions -- Chapter 4: Telecommunication Case Study with Analytical Solutions -- Chapter 5: Healthcare Case Study with Analytical Solutions -- Chapter 6: Airline Case Study with Analytical Solutions -- Chapter 7: FMCG Case Study with Analytical Solutions.
520 $a Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data. The most challenging part of solving industrial business problems is the practical and hands-on knowledge of building and deploying advanced predictive models and machine learning algorithms. Applied Analytics through Case Studies Using SAS and R is your answer to solving these business problems by sharpening your analytical skills.
630 0 0 $a SAS (Computer file) $3 532522
650 0 $a Business enterprises $x Evaluation $v Case studies. $3 3339117
650 0 $a Machine learning. $3 533906
650 0 $a R (Computer program language) $3 784593
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Big Data. $3 3134868
650 2 4 $a Open Source. $3 2210577
650 2 4 $a Probability and Statistics in Computer Science. $3 891072
650 2 4 $a Business Mathematics. $3 2088824
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4842-3525-6
950 $a Professional and Applied Computing (Springer-12059)