Applied Analytics through Case Studies Using SAS and R

Implementing Predictive Models and Machine Learning Techniques de

Éditeur :

Apress


Paru le : 2018-08-03

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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.
Pages
404 pages
Collection
n.c
Parution
2018-08-03
Marque
Apress
EAN papier
9781484235249
EAN PDF
9781484235256

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
40
Taille du fichier
8253 Ko
Prix
62,11 €
EAN EPUB
9781484235256

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
40
Taille du fichier
10844 Ko
Prix
62,11 €

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