ebook9781484235256d4325

Description

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.