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(Ebook) Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques by Deepti Gupta ISBN 9781484235249, 148423524X

  • SKU: EBN-55464898
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Instant download (eBook) Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques after payment.
Authors:Deepti Gupta
Pages:424 pages.
Year:2018
Editon:1st ed.
Publisher:Apress
Language:english
File Size:7.98 MB
Format:pdf
ISBNS:9781484235249, 148423524X
Categories: Ebooks

Product desciption

(Ebook) Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques by Deepti Gupta ISBN 9781484235249, 148423524X

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.  What You'll Learn      Understand analytics and basic data concepts     Use an analytical approach to solve Industrial business problems     Build predictive model with machine learning techniques    Create and apply analytical strategies Who This Book Is ForData scientists, developers, statisticians, engineers, and research students with a great theoretical understanding of data and statistics who would like to enhance their skills by getting practical exposure in data modeling.
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