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Applied analytics through case studi...

Gupta, Deepti.

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applied analytics through case studies using SAS and R/ by Deepti Gupta.
Reminder of title:	implementing predictive models and machine learning techniques /
Author:	Gupta, Deepti.
Published:	Berkeley, CA :Apress : : 2018.,
Description:	xx, 404 p. :digital ;24 cm.
[NT 15003449]:	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
Subject:	Business enterprises - Case studies. - Evaluation -
Online resource:	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 /
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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.
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