Applied Analytics through Case Studies Using SAS and R

Implementing Predictive Models and Machine Learning Techniques

Nonfiction, Computers, Database Management, General Computing, Programming
Cover of the book Applied Analytics through Case Studies Using SAS and R by Deepti Gupta, Apress
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Author: Deepti Gupta ISBN: 9781484235256
Publisher: Apress Publication: August 3, 2018
Imprint: Apress Language: English
Author: Deepti Gupta
ISBN: 9781484235256
Publisher: Apress
Publication: August 3, 2018
Imprint: Apress
Language: English

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 For

Data 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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  **

Who This Book Is For

Data 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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