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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
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Understand analytics and basic data concepts
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Use an analytical approach to solve Industrial business problems
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Build predictive model with machine learning techniques
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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.
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Supercoach: 10 Secrets to Transform Anyone's Life
IF SUPERMAN NEEDED A COACH,
HE’D HIRE MICHAEL NEILL!
In this fun, easy-to-read book, best-selling author and internationally renowned success coach Michael Neill shares the secrets of transforming your life and the lives of the people you care about most—your family, friends, ... | | Java Web Services in a NutshellThis book is intended to be used in conjunction with the best-selling O'Reilly titles Java in a Nutshell, by David Flanagan and Java Enterprise in a Nutshell, by William Crawford, Jim Farley, and David Flanagan. Java in a... | | MATLAB Differential Equations
MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or... |
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