Applied Analytics through Case Studies Using SAS and R

Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques
By 作者: Deepti Gupta
ISBN-10 书号: 148423524X
ISBN-13 书号: 9781484235249
Edition 版本: 1st ed.
Release Finelybook 出版日期: 2018-08-04
Pages 页数: 404
The Book Description robot was collected from Amazon and arranged by Finelybook
Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques
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.