Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data

         


Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data
By 作者: Greg Foss – Paul Modderman
ISBN-10 书号: 1492046442
ISBN-13 书号: 9781492046448
Edition 版本: 1
Release Finelybook 出版日期: 2019-10-08
pages 页数: (332 )

$69.99
Book Description to Finelybook sorting
Learn how to fuse today’s data science tools and techniques with your SAP enterprise resource planning (ERP) system. With this practical guide, SAP veterans Greg Foss and Paul Modderman demonstrate how to use several data analysis tools to solve interesting problems with your SAP data.
Data engineers and scientists will explore ways to add SAP data to their analysis processes, while SAP business analysts will learn practical methods for answering questions about the business. By focusing on grounded explanations of both SAP processes and data science tools, this book gives data scientists and business analysts powerful methods for discovering deep data truths.
You’ll explore:

Examples of how data analysis can help you solve several SAP challenges
Natural language processing for unlocking the secrets in text
Data science techniques for data clustering and segmentation
Methods for detecting anomalies in your SAP data
Data visualization techniques for making your data come to life
Preface
1.Introduction
2.Data Science for SAP Professionals
3.SAP for Data Scientists
4.Exploratory Data Analysis with R
5.Anomaly Detection with R and Python
6.Predictive Analytics in R and Python
7.Clustering and Segmentation in R
8.Association Rule Mining
9.Natural Language Processing with the Google Cloud Natural Language API
10.Conclusion
Index

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