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Applied Analytics through Case Studi...
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Applied Analytics through Case Studies Using SAS and R = Implementing Predictive Models and Machine Learning Techniques /
Record Type:
Language materials, printed : 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.
Description:
XX, 404 p. 99 illus.online resource. :
Contained By:
Springer Nature eBook
Subject:
Big data. -
Online resource:
https://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 R
Implementing Predictive Models and Machine Learning Techniques /[electronic resource] :by Deepti Gupta. - 1st ed. 2018. - XX, 404 p. 99 illus.online resource.
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--Topical Terms:
981821
Big data.
LC Class. No.: QA76.9.B45
Dewey Class. No.: 005.7
Applied Analytics through Case Studies Using SAS and R = Implementing Predictive Models and Machine Learning Techniques /
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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. .
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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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