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
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