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Published by O'Reilly Media 10/8/2019, 2019
ISBN 10: 1492046442 ISBN 13: 9781492046448
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Paperback or Softback. Condition: New. Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data. Book.
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Published by Oreilly & Associates Inc, 2019
ISBN 10: 1492046442 ISBN 13: 9781492046448
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Seller: moluna, Greven, Germany
Condition: New. Are you using SAP ERP and eager to unlock the enormous value of its data? With this practical guide, SAP veterans Greg Foss and Paul Modderman show you how to use several data analysis tools to solve interesting problems with your SAP data.Über.
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Published by O'reilly Media Okt 2019, 2019
ISBN 10: 1492046442 ISBN 13: 9781492046448
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Neuware - 'Are you using SAP ERP and eager to unlock the enormous value of its data With this practical guide, SAP veterans Greg Foss and Paul Modderman show you how to use several data analysis tools to solve interesting problems with your SAP data. Throughout the book, you'll follow a fictional company as it tackles real scenarios. Using actual data to create example code and visualizations, SAP business analysts will learn practical methods for gaining deeper insights into their business's data. Data engineers and data scientists will explore ways to add SAP data to their analysis processes. Through grounded explanations of both SAP processes and data science tools, you'll discover powerful methods for discovering data truths.'.
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Language: Chinese
Published by Machinery Industry Press, 2021
ISBN 10: 7111674030 ISBN 13: 9787111674030
Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Paperback. Pub Date: 2021-03-01 Pages: 272 Publisher: Machinery Industry Press This book introduces SAP professionals to the basic principles of data science such as machine learning and neural networks. It also introduces data scientists to the data structure and data structure of the SAP system. Concepts and processes such as data services.?Then introduced the two very basic and very important data preparation phases of data exploratory analysis and anomaly detection. Then. by simulating th.