Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques - Tapa blanda

Gupta, Deepti

 
9781484235249: Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques
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ISBN 10: 148423524X ISBN 13: 9781484235249
Editorial: Apress, 2018

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Deepti Gupta completed her MBA in Finance and PGPM in operation research in 2010. She has worked with KPMG and IBM private limited as Data Scientist and is currently working as a data science freelancer. Deepti has extensive experience in predictive modeling and machine learning with an expertise in SAS and R. Deepti has developed data science courses, delivered data science trainings, and conducted workshops for both corporate and academic institutions. She has written multiple blogs and white papers. Deepti has a passion for mentoring budding data scientists.

De la contraportada

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. 

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Apress
Año de publicación
2018
Idioma
Inglés
ISBN 10 
148423524X
ISBN 13 
9781484235249
Encuadernación
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Número de edición
1
Número de páginas
424
Contacto del fabricante
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3,69115 Heidelberg, Germany
Heidelberg
69115
Alemania

Otras ediciones populares con el mismo título

9781484240465: Applied Analytics Through Case Studies Using Sas And R: Implementing Predictive Models And Machine Learning Techniques

Edición Destacada

ISBN 10:  1484240464 ISBN 13:  9781484240465
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