Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data. Greg Foss, Paul Modderman

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


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ISBN: 9781492046448 | 344 pages | 9 Mb

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  • Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data
  • Greg Foss, Paul Modderman
  • Page: 344
  • Format: pdf, ePub, fb2, mobi
  • ISBN: 9781492046448
  • Publisher: O'Reilly Media, Incorporated
Download Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data


Free electronic data book download Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data by Greg Foss, Paul Modderman RTF PDF English version 9781492046448

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

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Data-Driven Analytics: Practical Use Cases For Financial Services foundation that supports the analysis of both enterprise data and Big Data. Machine learning algorithms can enable the following customer-facing use cases: Financial Services Industry Unit at SAP and a senior-level financial services  SAP Machine Learning: Introduction to Modeling | SAP Blogs
Audience: Project managers, business analysts, subject matter experts Data Science desires a successful outcome to the project in technical terms. Modeling Basics; Recommendations for good practice in modelling; Improving Your For example, algorithms 'techniques' used in predictive modeling. SAP Leonardo Machine Learning Foundation - SAP News Center
When launching SAP Leonardo Machine Learning Foundation, SAP started to their business needs by training services on their unique data. In practice, this new functionality now empowers a business with For example, it enables a global system integrator with deep investments in data science to  Practical Data Science with SAP by Greg Foss, Paul - Dymocks
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