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

By:

Gupta, Deepti

Contributor(s):

I. Title

Material type: Text

TextPublication details: Boston, Massachusetts, USA : Apress 2018Description: xx, 404 pages : illustrations ; 26 cmISBN:

9781484235256 (paperback)

Subject(s):

1. Data analysis

LOC classification:

QA 76.9 G7 2018

Summary: 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. . Back to results Cover image article E-resource Disable Google Preview Google Preview Holding libraries University of Aberdeen Libraries University of Bath Library University of Bradford British Library Cardiff University Libraries Coventry University University of Dundee University of Edinburgh Libraries Edinburgh Napier University Glasgow Caledonian University University of Glasgow Library University of Huddersfield Library University of Liverpool Library University of Manchester Library National Library of Scotland National Library of Wales / Llyfrgell Genedlaethol Cymru Newcastle University Libraries Northumbria University Library Open University Library Queen Margaret University Library Robert Gordon University Royal Holloway, University of London University of Strathclyde Library Trinity College Dublin Library UCL Library Services University of Warwick Library University of Westminster

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
Books	Philippine Christian University Manila Reserve	College	QA 76.9 G7 2018 (Browse shelf(Opens below))	1	Available	51851

Includes bibliographical references

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

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